50+ Python Jobs in India

Role Overview

We are looking for a Junior Python Developer to join the backend development team for Enso One, our next-generation business application platform.

This role is suitable for candidates with 0-3 years of experience who have strong fundamentals in Python, backend API development, relational databases, data processing, and Git-based development.

The selected candidate will work on FastAPI-based backend services, PostgreSQL-backed business logic, data/file processing workflows using pandas, integrations, and internal automation utilities.

Key Responsibilities

• Develop and maintain backend APIs using Python and FastAPI.
• Write clean, readable, modular, and maintainable Python code.
• Work with PostgreSQL databases, including queries, joins, indexes, constraints, and schema changes under guidance.
• Build and maintain data processing scripts using pandas for CSV, Excel, and structured data workflows.
• Debug API, database, and data transformation issues using logs and structured troubleshooting.
• Use Git for branching, commits, pull requests, and team collaboration.
• Participate in code reviews and improve based on feedback from senior developers.
• Write basic unit tests and validate edge cases for APIs and data-processing logic.
• Support integrations with internal and external systems through REST APIs.
• Document technical assumptions, API behavior, and implementation notes clearly.

Mandatory Skills

• Python fundamentals: functions, classes, exceptions, data structures, file handling, comprehensions, and virtual environments.
• FastAPI basics: route creation, request/response models, validation, dependency usage, status codes, and error handling.
• PostgreSQL basics: SQL queries, joins, filtering, grouping, transactions, constraints, and basic performance awareness.
• pandas basics: reading/writing CSV and Excel files, cleaning data, filtering, grouping, merging, handling nulls, and exporting processed outputs.
• Git basics: clone, branch, commit, pull, push, merge conflict resolution, and pull request discipline.

Preferred Practical Exposure

• Basic Linux usage, command line navigation, logs, environment variables, and application troubleshooting.
• Understanding of API testing using tools such as Postman, curl, or similar tools.
• Awareness of authentication basics such as sessions, tokens, JWT, password hashing, and access control concepts.
• Understanding of clean coding practices, naming discipline, and basic code organization.
• Basic awareness of deployment flow, configuration files, and server-side debugging.

Required Candidate Profile

• 0-3 years of hands-on experience or strong project/internship experience in Python development.
• Strong problem-solving ability and willingness to learn business workflows in depth.
• Comfortable working in a structured engineering environment with code reviews and task tracking.
• Able to ask clear questions, document assumptions, and communicate blockers early.
• Detail-oriented approach to data correctness, API behavior, and database consistency.
• Willing to work full-time from the Bangalore office.

What the Candidate Will Work On

• Backend APIs for Enso One modules and internal workflows.
• Database-driven business logic using PostgreSQL.
• Data import, validation, transformation, and reporting utilities.
• File processing for structured formats such as Excel and CSV.
• Internal automation scripts to reduce manual operational work.
• Integration support for internal tools and third-party systems.

Good to Have

• Exposure to SQLAlchemy, Alembic, Pydantic, pytest, Docker, or similar tools.
• Experience building small personal or academic projects using Python APIs and databases.
• Understanding of background jobs, scheduled scripts, queues, or async processing concepts.
• Interest in building reliable business applications with strong data accuracy requirements.

Selection Process

• Initial resume screening.
• 45-minute Google Form technical assessment.
• Technical interview focused on Python, PostgreSQL, FastAPI, pandas, Git, debugging, and practical problem solving.
• Final discussion on role fit, work discipline, and learning ability.

Success Expectations

• Within 30 days: understand the codebase, setup flow, Git workflow, and basic Enso One backend modules.
• Within 60 days: independently complete small API, SQL, and data-processing tasks with review support.
• Within 90 days: handle moderate backend tasks, debug issues methodically, and contribute reliably to sprint delivery.

Software Development Engineer

📍 Bangalore (On-site) · Reporting to the CTO · 2–7 years experience

We're hiring a Software Development Engineer to build the systems that keep real-world operations running - from customer-facing products to the internal tools field teams rely on every morning. If you want your code to matter to people standing in a warehouse or walking a route, not just to a dashboard, read on.

What you'll do

• Design, build, and ship across the stack: backend services, APIs, mobile and web field apps, and operational dashboards
• Build the systems that run daily operations: deployment, attendance, check-in/check-out, work verification, and issue resolution
• Make products work where the network doesn't — offline-first and vernacular-first experiences built for field-heavy, low-connectivity conditions
• Own features end to end, from design discussions to deployment to on-call
• Work shoulder to shoulder with Product, Ops, and field users to solve what's actually happening on the ground
• Contribute to the data pipelines and analytics that power planning, forecasting, and unit economics

What we're looking for

• 2–7 years building and shipping production software
• Comfortable across the stack, or deep in one area and eager to stretch
• A strong ownership mindset — you ship, you debug production issues at odd hours, and you care whether it actually works for the user
• Pragmatic with trade-offs, able to balance speed against quality without losing either
• Bonus: experience building for low-bandwidth, offline-first, next-billion-user contexts

WE'RE HIRING

Forward Deployed Engineer (FDE) – AI Solutions

Location: Mumbai (On-site with Clients) | Salary: ₹30,000 – ₹50,000/month | Full-Time

Position

Forward Deployed Engineer (FDE)

Location

Mumbai (physical presence at client sites required)

Salary

₹30,000 – ₹50,000 per month (entry-level / fresher range, based on skill)

Job Type

Full-time, On-site / Client-facing

Preferred Background

CSE / IT / related engineering graduates

Eligibility

Open to all ages who meet the skill requirement

About the Role

We are looking for a Forward Deployed Engineer (FDE) to work directly at client sites across Mumbai, deploying, customizing, and supporting our AI-powered solutions. This role sits at the intersection of engineering and client relationships — you'll write/adapt code, configure AI systems on the ground, troubleshoot real-time issues, and translate technical concepts into simple language for clients. Ideal for a CSE/IT graduate who is strong in tech, genuinely curious about AI, and enjoys solving problems face-to-face with clients rather than purely behind a desk.

Key Responsibilities

-Travel to client sites across Mumbai to deploy, configure, and customize AI-based solutions

-Debug and resolve technical issues on-site, escalating complex problems to the core engineering team when needed

-Write scripts/code to integrate, adapt, or fine-tune AI tools/models for specific client use cases

-Explain technical concepts and AI capabilities clearly to non-technical stakeholders

-Gather client requirements and feedback, and relay them back to the product/engineering team

-Document deployments, issues, and solutions for future reference

Requirements

CSE / IT / Computer Engineering degree strongly preferred

Solid understanding of AI/ML concepts and tools (LLMs, APIs, automation, Python-based AI tooling, etc.)

Working knowledge of at least one programming language (Python preferred)

Excellent verbal communication skills — comfortable explaining technical topics to clients

Strong problem-solving ability and comfort working independently on-site

Quick learner, adaptable to new tools/tech stacks

Willingness to travel daily within Mumbai for client visits

Open to all age groups — skills and attitude matter more than age

Perks

Travel/conveyance allowance

Direct hands-on exposure to real-world AI deployments

Performance-based growth and incentives

Mentorship from core engineering team

- Design, develop, and maintain full stack web applications using Python (backend) and modern frontend frameworks

- Build and integrate REST APIs; work with databases (SQL/NoSQL)

- Apply AI/ML concepts or tools within applications (e.g., model integration, LLM APIs, data-driven features)

- Collaborate with cross-functional teams on financial/trading platform features

- Write clean, scalable, well-tested code; participate in code reviews

- Troubleshoot and optimize application performance

The impact that you will be making

• Drive end-to-end automation strategy by transforming manual test cases into scalable, maintainable automated suites using the inbuilt framework.
• Ensure seamless integration of automated tests into the CI/CD pipeline, enabling faster releases with improved quality and reliability.
• Enhance the stability and efficiency of regression suites, reducing execution time and minimizing flaky tests.
• Continuously improve and evolve the automation framework, introducing reusable components and best practices for long-term scalability.
• Leverage strong SQL and data validation skills to ensure data accuracy and support faster root cause analysis.
• Bring in performance testing practices using tools like JMeter/LoadRunner to identify bottlenecks and improve system performance under load.
• Contribute to API and end-to-end testing coverage, ensuring robust validation across UI, backend, and integrations.
• Analyze, debug, and troubleshoot automation scripts to improve reliability and reduce maintenance overhead.
• Collaborate closely with engineering and product teams to shift quality left and embed testing early in the development lifecycle.
• Mentor and guide team members, fostering a quality-driven culture and improving overall team capability.
• Drive continuous improvement by adopting new tools, technologies, and innovative approaches aligned with AI-driven and modern testing practices.

What lands you in this role

• Minimum 8-11 years’ hands-on experience in automation testing.
• Experience of working in Python.
• Solid SQL skills - Should be able to write complex queries with ease.
• Experience of working on any testing frameworks such as Playwright, Selenium, Cypress.
• Experience of working on any Performance testing tools like JMeter, Load Runner etc.
• Good to have knowledge on API testing with tools like Postman, Insomnia etc.
• Experience of working in a well-designed CI/CD environment is mandatory.
• Experience in automating test scenarios and integrating them into the CI/CD environment.
• Experience in automating complex web based applications.
• Ability to analyze and troubleshoot scripts.
• Should possess a high ownership mindset.
• Should have strong aptitude, can think independently and possess problem solving skills.
• Ability to learn new technologies and quickly adapt to new situations.
• BE/BTech in computer science or equivalent technical education

What we offer

• An opportunity to develop some of the best enterprise SaaS products to be built out of India
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture ( 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

Build backend systems that make complex workflows reliable, maintainable, and easier to evolve. You’ll work on production Python services, modernize existing applications, and deliver APIs and integrations used by real teams.

The role is focused on backend development using Python, Django, and FastAPI, with occasional contributions to frontend applications built with React or Next.js. You will work across API development, system integrations, data workflows, background processing, and the modernization of existing services.

You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar tools.

This is a backend-first role for an engineer who understands that testing, security, reliability, and observability are core parts of production software development.

What you'll do

• Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and FastAPI.
• Improve the maintainability of existing services by simplifying legacy workflows, business logic, data models, and integrations.
• Deliver secure, well-documented APIs that enable frontend applications, internal tools, and third-party integrations.
• Keep data workflows reliable through safe schema changes, migrations, backfills, validation, and failure recovery.
• Build background jobs and asynchronous workflows that handle retries, timeouts, rate limits, idempotency, and operational failures.
• Raise confidence in releases through automated tests, thoughtful code reviews, and production-readiness checks.
• Improve performance and reliability using profiling, query optimization, caching, monitoring, and practical fault handling.
• Make services easier to operate by maintaining useful logs, metrics, dashboards, alerts, and runbooks.
• Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product outcomes.
• Collaborate with product, frontend, platform, DevOps, SRE, and operations teammates to ship well-scoped solutions and document technical decisions.

What we're looking for

Required

• 3–5 years of professional software engineering experience, mainly in backend development.
• Good proficiency in Python and production experience with either Django or FastAPI, with willingness to learn the other.
• Practical experience designing REST APIs and integrating with third-party or internal services.
• Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.
• Experience writing automated tests and diagnosing defects or production issues.
• Good problem-solving, communication, documentation, and collaboration skills.

Preferred

• Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar tools.
• Experience deploying or supporting applications on AWS or another cloud platform.
• Familiarity with structured logging, metrics, dashboards, alerts, and observability tools.
• Exposure to React or Next.js integrations.
• Experience with Docker, Redis, webhooks, queues, or event-driven systems.
• Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege access.
• Experience helping with production incidents, performance testing, or safe deployment practices.

Founding Engineer – Full Stack

Shava Studios | Remote – India

About the Role

Shava Studios is hiring a Founding Engineer to build and scale AI-native software products from the ground up.

You’ll work across the full stack—frontend, backend, AI integrations, and real-time systems—while playing a key role in shaping our architecture and engineering culture. We value demonstrated ability, strong fundamentals, and ownership over years of experience.

What You’ll Do

• Build and ship full-stack features end-to-end.
• Design scalable APIs, backend services, and data models.
• Build and integrate LLM and AI-agent capabilities.
• Develop reliable real-time and asynchronous systems.
• Own third-party integrations, authentication, security, and performance.
• Maintain high standards for testing, code quality, and system reliability.
• Contribute to architecture decisions and technical direction.
• Mentor engineers and help raise the engineering bar as the team grows.

What We’re Looking For

• Strong experience building production-grade full-stack applications.
• Hands-on experience with React/Next.js, TypeScript, and Python/FastAPI or similar technologies.
• Strong understanding of system design, APIs, databases, and scalable backend systems.
• Experience with or strong interest in LLMs, GenAI, and AI-agent systems.
• Familiarity with real-time or asynchronous systems such as WebSockets, Redis, Celery, or RabbitMQ is a plus.
• Strong ownership mindset with the ability to independently take features from idea to production.
• Good technical communication and problem-solving skills.

Why Join?

You’ll join at an early stage with significant influence over the product, architecture, and engineering culture. This is an opportunity to build AI-native products from the ground up, take real technical ownership, and grow toward Staff-level engineering leadership.

Job Title: Senior Data Engineer

Work Location: Remote / Home Office (US Shift: 6 PM – 3 AM IST)

Employment Type: Full-time, Permanent

Experience Required: 12 - 15 years

About the Role

We are seeking a highly skilled Senior Data Engineer with extensive experience in

designing, building, and optimizing data solutions for the US education industry. The

ideal candidate will have strong expertise in SQL development, data modeling, ETL

processes, and hands-on experience with business intelligence tools such

as Tableau and Power BI.

Key Responsibilities

• Design, develop, and optimize data pipelines, ETL processes, and data

integration workflows across multiple systems.

• Work with stakeholders in the US education domain to understand data

requirements and deliver scalable solutions.

• Develop and maintain complex SQL queries, stored procedures, and

performance-optimized data models.

• Collaborate with data analysts and business teams to build dashboards,

reports, and visualizations in Tableau and Power BI.

• Ensure data quality, governance, and compliance with industry regulations

and institutional reporting requirements.

• Partner with cross-functional teams (Product, Analytics, IT) to support data

driven decision-making.

• Monitor, troubleshoot, and improve data infrastructure and workflows for high

availability and performance.

Required Qualifications

• 12–15 years of professional experience in data engineering, ETL, and database

development.

• Strong expertise in SQL (complex queries, optimization, indexing, stored

procedures).

• Proven experience working with data in the US education industry (student

information systems, enrollment data, compliance reporting, accreditation,

etc.).

• Hands-on expertise with Tableau and Power BI for data visualization and

reporting.

• Solid understanding of data modelling, data warehousing concepts, and BI

best practices.• Experience with cloud data platforms (AWS Redshift, Snowflake, Azure

Synapse, or GCP BigQuery).

• Knowledge of Python, Spark, or other data processing frameworks is a plus.

• Strong problem-solving skills with the ability to translate business requirements

into technical solutions.

Preferred Skills

• Familiarity with IPEDS, state/federal reporting standards, or other US

education regulatory frameworks.

• Exposure to data governance frameworks and master data management.

• Experience in API integrations and handling large-scale structured/unstructured

data.

• Excellent communication skills to work with both technical and non-technical

stakeholders.

About the Role

CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.

This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.

Technology Stack & Domain Knowledge

Core / Must-Have

• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)

• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.

• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.

• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.

• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.

• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.

• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.

• CI/CD experience and working with GitHub

• Full stack experience, specially with data centric apps/systems Strong Advantage

• Python (primary language for Data Commons import tooling and ML pipelines).

• TypeScript / React for the Data Commons web frontend and visualization layers.

• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.

• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.

• DataCommons Python / REST APIs and the DCID import automation tools.

• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.

Experience & Qualifications Required

• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.

• Demonstrable experience delivering production-grade systems on Google Cloud Platform.

• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.

• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.

• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.

• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.

• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan. 

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.

The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.

Mandatory Skills :

Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design

Key Responsibilities :

• Design and develop scalable backend services, REST APIs, and microservices.
• Build and enhance cloud-native, high-performance applications.
• Participate in architecture and system design discussions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams.
• Troubleshoot production issues and optimize application performance.
• Mentor team members and contribute to engineering best practices.

Required Skills :

• 5+ years of software development experience in product-based organizations.
• Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
• Experience with REST APIs, Microservices, SQL, and Distributed Systems.
• Strong understanding of cloud platforms and cloud-native architecture.
• Hands-on experience with relational and NoSQL databases.
• Familiarity with CI/CD, monitoring, and DevOps practices.

Preferred Skills :

• Experience building highly scalable distributed systems.
• Strong debugging, troubleshooting, and performance optimization skills.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent communication, collaboration, and problem-solving abilities.
• Experience mentoring engineers and leading technical initiatives.

We are seeking a skilled and experienced Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and managing our cloud infrastructure on AWS, while utilizing Docker, Kubernetes, Terraform and Argo CD for containerization and deployment. You will collaborate closely with development teams to ensure smooth software releases, scalability, and reliability of our systems. Also, you will be working on Airflow and Spark configurations for Data pipelines.

Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, VPC, IAM, and Lambda.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines to enable continuous integration, automated testing, and deployment using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of AWS resources.
• Monitor and troubleshoot infrastructure and application issues, ensuring high availability, performance, and scalability of the system.
• Collaborate with development teams to ensure smooth and efficient software releases, including version control, branching strategies, and release management.
• Implement and maintain robust security practices, including access control, network security, and data encryption.
• Automate manual tasks and processes using scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible).
• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and implement best practices for infrastructure and deployment processes.
• Stay up-to-date with the latest DevOps tools, technologies, and best practices, and identify opportunities for improvement and optimization in our infrastructure and processes.

Requirements:

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
• Proven experience as a DevOps Engineer, with a focus on AWS, Docker, Kubernetes, and Argo CD.
• Strong experience in designing, implementing, and managing cloud infrastructure on AWS, including services like EC2, S3, VPC, IAM, and Lambda.
• Hands-on experience with containerization technologies, specifically Docker and Kubernetes.
• Proficiency in CI/CD pipeline setup and management using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation.
• Experience in monitoring and troubleshooting complex infrastructure and application issues.
• Strong scripting and automation skills using languages such as Python, Bash, or PowerShell.
• Excellent problem-solving and analytical skills, with the ability to handle and prioritize multiple tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with infrastructure monitoring and logging tools like CloudWatch, ELK stack, or Prometheus/Grafana.
• Knowledge of serverless architectures and experience with AWS Lambda.
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Understanding of security best practices and experience implementing security measures in cloud infrastructure.

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

We are looking for an exceptional Python Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front end. The ideal candidate must have a rock-solid foundation in core computer science concepts, specifically Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA), to design and implement highly scalable and optimised backend systems.

Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable Python code.
• Develop robust, highly scalable, and low-latency backend architectures and APIs.
• Apply strong OOPS principles to build modular and maintainable software systems.
• Utilise advanced Data Structures and Algorithms (DSA) to solve complex computational problems and optimise application performance.
• Integrate user-facing elements developed by front-end developers with server-side logic.
• Implement security and data protection measures.
• Identify bottlenecks, troubleshoot bugs, and devise elegant solutions to mitigate these issues.
• Collaborate cross-functionally with product managers, front-end developers, and QA engineers to deliver high-quality features.

Requirements:

• Core Python: Strong proficiency in Python programming with a deep understanding of its quirks, ecosystem, and best practices.
• OOPs Expertise: Excellent command over Object-Oriented Programming concepts (Inheritance, Polymorphism, Encapsulation, Abstraction) and design patterns.
• DSA Proficiency: Strong problem-solving skills with a deep understanding of Data Structures (Arrays, Trees, Graphs, Hash Tables, etc. ) and Algorithms (Sorting, Searching, Dynamic Programming, etc. ).
• Frameworks: Hands-on experience with popular Python web frameworks such as Django, FastAPI, or Flask.
• Database Management: Solid understanding of relational databases (e. g., PostgreSQL, MySQL) and ORM (Object-Relational Mapper) libraries.
• API Development: Experience in designing and developing RESTful APIs.
• Version Control: Proficient understanding of code versioning tools, such as Git.
• Clean Code: A strong commitment to writing clean, readable, and properly documented code.

Good to Have (Optional):

• Experience with NoSQL databases (e. g., MongoDB, Redis).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Knowledge of asynchronous programming in Python (asyncio).

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best-in-class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Experience: 3-6 years | Location: Bangalore (On-site)

Why This Role?

• Real scale, real problems - billions of rows of financial data, millions of API requests per hour, live market feeds.
• Cutting-edge product work - AI products, online backtesting engines, data visualization, and machine learning integrations.
• High ownership, low bureaucracy - small, senior team means your decisions matter and your work ships fast.
• Direct visibility - work closely with founders and product leads on features that reach hundreds of thousands of users.

Tech Stack:

Language: Python

Frameworks: Django / FastAPI / Flask

Databases: PostgreSQL / MySQL

What You'll Do:

• Design, develop, and maintain scalable backend systems capable of handling billions of rows of data and serving millions of API requests per hour
• Translate product requirements into robust system architecture - owning the full development lifecycle from requirement to release
• Collaborate closely with product managers and cross-functional teams to scope and deliver high-quality features that address real user needs
• Write clean, well-documented code and maintain technical documentation that enables other engineers to contribute efficiently
• Drive and participate in design and code reviews, ensuring engineering standards are upheld across the team
• Mentor junior developers, helping build a strong engineering culture within the team
• Contribute to and evolve best practices for backend development as the team and product scale.

What We're Looking For:

• 3-6 years of hands-on experience with Python and at least one of Django / FastAPI / Flask.
• Strong command of relational databases - PostgreSQL or MySQL - and experience optimising queries at scale.
• Solid understanding of Redis and caching strategies in high-throughput environments.
• Experience designing and building REST APIs that are performant, reliable, and maintainable.
• Ownership mindset - you build it, ship it, and take responsibility for it in production.
• Strong communication skills - ability to articulate technical decisions clearly to both engineers and non-technical stakeholders.
• Bonus: Familiarity with JavaScript, HTML, or CSS is a plus but not required.

Role Overview

We are seeking a highly skilled Senior Developer / Technical Lead with strong experience in marketing creative platforms and digital experience delivery. This role requires expertise in Sitecore, React.js, Node.js, Python, and FileMaker, along with proven leadership capabilities to guide development teams and deliver high-impact marketing solutions.

You will play a critical role in designing, developing, and leading the implementation of scalable, creative, and performance-driven digital experiences.

________________________________________

Required Skills & Qualifications

Technical Skills

• Strong experience with:

o Sitecore CMS (content modeling, personalization, pipelines, APIs)

o React.js (modern front-end ecosystem)

o Node.js (RESTful APIs, server-side applications)

o Python (automation, backend systems, scripting)

• Experience with FileMaker (development, customization, or integration)

• Proficiency in HTML5, CSS3, JavaScript/TypeScript

• Experience with API design, microservices architecture, and cloud platforms (AWS )

• Familiarity with CI/CD pipelines, DevOps practices, and version control (Git)

Technical Leadership

• Lead a team of developers, ensuring high-quality design, development, and delivery of solutions

• Provide architectural guidance and enforce best practices across front-end and back-end development

• Mentor junior/mid-level engineers and support team growth

• Ensure scalability, reliability, and security of solutions

Role Overview

We are seeking a highly skilled Operations Research (OR) and Optimization Engineer to design and develop an intelligent crew rostering optimizer for rail operations. The role involves applying advanced optimization techniques—including metaheuristics and mathematical programming—to generate efficient, compliant, and cost-optimized crew schedules. The candidate will also develop production-grade Python code for the optimizer and expose it via APIs for integration with operational systems.

This role combines algorithm design, applied optimization, and production software development.

Key Responsibilities

Optimization Model Design & Development

• Design and implement optimization models for rail crew rostering, considering operational, regulatory, and contractual constraints.
• Apply appropriate optimization techniques such as:
• Mixed Integer Linear Programming (MILP)
• Constraint Programming (CP)
• Metaheuristics (Genetic Algorithm, Simulated Annealing, Tabu Search, Large Neighborhood Search, etc.)
• Hybrid OR + metaheuristic approaches for large-scale optimization
• Model constraints including:
• Duty time limits, rest rules, and labor regulations
• Crew qualifications, route familiarity, and skill requirements
• Shift continuity, fairness, and crew preferences
• Coverage requirements and operational robustness
• Develop objective functions to optimize for cost, utilization, fairness, robustness, and operational efficiency.

Algorithm Engineering & Performance Optimization

• Design scalable and efficient optimization algorithms capable of handling real-world rail network scale.
• Implement solution heuristics and decomposition strategies to improve performance.
• Perform benchmarking, tuning, and performance optimization.

Python Development & API Integration

• Develop modular, production-quality Python code for the optimization engine.
• Expose optimizer functionality via REST APIs (using FastAPI, Flask, or similar frameworks).
• Ensure clean architecture, modular design, and extensibility.
• Package and deploy optimization services for integration with enterprise systems.

Integration & Deployment

• Integrate optimizer with upstream data systems and downstream applications.
• Support deployment in cloud or on-prem environments.
• Ensure robustness, logging, monitoring, and error handling.

Validation & Continuous Improvement

• Validate optimization outputs with domain stakeholders.
• Improve algorithms based on real-world operational feedback.
• Document models, assumptions, and system architecture.

Required Qualifications

Education

• Master's or PhD in one of the following:
• Operations Research
• Industrial Engineering
• Computer Science (with optimization focus)
• Applied Mathematics
• Transportation Engineering
• Artificial Intelligence (with optimization focus)

Technical Skills

Optimization & Algorithms

Strong hands-on experience with:

• Operations Research and optimization modeling
• Metaheuristics such as:
• Genetic Algorithms
• Simulated Annealing
• Tabu Search
• Large Neighborhood Search
• Variable Neighborhood Search
• Mathematical programming techniques:
• MILP, LP, CP

Experience with optimization tools such as:

• OR-Tools
• Pyomo
• PuLP
• Gurobi / CPLEX / CBC
• OptaPlanner (optional)

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Job Title : Senior Software Engineer

Experience : 5+ Years

Location : Mumbai (Work from Office)

Notice Period : Immediate to 15 Days

Mandatory Skills :

Platform Engineering, Backend Development, Python/Golang/Node.js/Elixir, Microservices, REST APIs, Cloud-Native Architecture, Distributed Systems, SQL, Cloud Platforms (AWS/Azure/GCP), Product-Based Experience

Role Overview :

We are looking for a Senior Software Engineer with strong backend engineering expertise to design, build, and scale cloud-native platform services. The ideal candidate should have experience working in product-based organizations, building highly scalable distributed systems, and contributing to platform engineering initiatives.

You will work closely with Product, DevOps, Security, and Engineering teams to build reliable, secure, and high-performance backend systems while driving technical excellence across the organization.

Key Responsibilities :

• Design, develop, and enhance core platform modules and shared backend services.
• Build scalable REST APIs, backend services, and data pipelines for high-volume production environments.
• Participate in architecture discussions and contribute to technical design decisions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams to deliver scalable solutions.
• Design systems with a focus on scalability, performance, security, maintainability, and reliability.
• Troubleshoot complex production issues and implement permanent solutions.
• Review code, mentor engineers, and promote engineering best practices.
• Improve platform reliability, observability, and developer productivity.
• Drive continuous improvements in coding standards, architecture, and development processes.

Required Skills & Qualifications :

• 5+ years of software development experience in product-based companies (B2B experience preferred).
• Strong backend development experience using one or more of :
• Python
• Golang
• Node.js
• Elixir
• Hands-on experience with Microservices Architecture.
• Strong understanding of Cloud-Native Application Development.
• Experience designing and developing RESTful APIs and backend services.
• Minimum 3 years of experience working on cloud-based, customer-facing production applications.
• Strong knowledge of Distributed Systems Design.
• Experience with relational and NoSQL databases.
• Good understanding of SQL and data modeling.
• Experience designing reusable platform services consumed by multiple engineering teams.
• Strong product mindset with the ability to balance business requirements and technical excellence.
• Backend-focused engineer with exposure to frontend technologies.

Preferred Skills :

• Experience building highly scalable distributed platforms.
• Strong debugging and performance optimization skills.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent analytical, communication, and problem-solving skills.
• Experience mentoring engineers and driving technical initiatives.

Preferred Background :

• Product-Based Organization
• Platform Engineering Team
• FinTech or B2B SaaS products (preferred)

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Interested? Let’s Connect on LinkedIn

About the internship

As a Full Stack Development intern at Miror, you will have the opportunity to work with cutting-edge technologies such as Node.js, React, TypeScript, Python, REST API, Next.js, Claude, ChatGPT, and Prompt Engineering.

Key Responsibilities:

1. Collaborate with the development team to design, build, and maintain efficient, reusable, and reliable code.

2. Implement new features and enhancements on our web application using the latest technologies and best practices.

3. Work on integrating third-party APIs and services to improve the functionality of our platform.

4. Assist in troubleshooting and resolving technical issues to ensure smooth operation of the website.

5. Conduct code reviews and provide constructive feedback to fellow team members.

6. Stay up-to-date with industry trends and advancements in web development to suggest innovative solutions.

7. Contribute to the overall success of the company by actively participating in team meetings and sharing your insights and ideas.

8. AI image and video generation

If you are a passionate and skilled developer looking to gain hands-on experience in a dynamic and fast-paced environment, this internship opportunity is perfect for you.

Join us in revolutionizing the beauty industry with technology!

Skill(s) required

ChatGPT

Claude

Next.js

Node.js

Prompt Engineering

Python

React

REST API

TypeScript

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start Immediately

3. are available for duration of 3 months

4. have relevant skills and interests

Other requirements

1. Should be able to independently develop full stack applications

2. Should be open to working directly with business for image and video generation

Perks

Certificate Letter of recommendation

Informal dress code

Chance to get a permanent Job offer here

What We Offer

·       Competitive compensation

·       Opportunity to work with senior leadership

·       Stable role with long-term growth potential

Best Regards,

Indrani Dutta

Senior HR Manager

Soham Renewable Energy India Pvt. Ltd.

Visit: www.miror.in

Visit: https://www.sohamenergy.in/

Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

Hiring for Data Analyst

Exp : 5 - 7 yrs

Edu : BE/B.Tech

Work Location : Noida WFO

Skills :

Expertise in SQL Server, including database design, performance tuning, query optimization, and security.

Hands-on experience developing ETL solutions using SSIS, Azure Data Factory (ADF), and Python.

Job Description Back-End Developer, Portfolio Management System Dedicated Engagement — Hurricane Capital Role Snapshot Engagement: Dedicated resource, employed/contracted through Transient.AI, invoiced to Hurricane Capital. 100% committed to Hurricane's work — not shared across accounts. Level: Mid-Level back-end developer (not junior, not principal). Location: Remote. Onshore or offshore, but must work U.S. East Coast hours. Type: Full-time, dedicated. Start: As soon as possible. MVP target: end of year. Works with: Rob and Rehan (Hurricane), plus Transient-side engineering for code review. The Work Hurricane Capital is building a portfolio management system from the ground up. This is fully Greenfield — the infrastructure does not exist yet, so you are building it, not maintaining someone else's. The immediate focus is Bloomberg connectivity and the Python back-end that market data flows through. You will be a dedicated engineer for Hurricane, working alongside Rob and Rehan in real time. Because the codebase lives on the Transient side and is reviewed before merge, you will also coordinate directly with Transient engineering. What You'll Own ● Build back-end services and APIs in Python from scratch for the portfolio management system. ● Implement and troubleshoot Bloomberg API connectivity for market data ingestion. ● Design and maintain the data layer — Postgres and SQL, with Snowflake as the cloud data warehouse. ● Work with Azure cloud infrastructure as the system requires. ● Collaborate live over Teams during East Coast hours to co-work and troubleshoot with Rob and Rehan. ● Coordinate with Transient engineering on code review and merges into the shared codebase. What Good Looks Like ● A working MVP of the portfolio management system is delivered by end of year, built in parallel with existing workstreams. ● Bloomberg connectivity is completed and stable, with market data flowing reliably through the Python APIs. ● Hurricane's work moves in real time — no waiting on cross-account turnaround, because this capacity is dedicated. ● Code clears Transient-side review cleanly, with trust established during hiring so there is no gating delay. Must Have ● Strong Python for back-end and API development. ● Hands-on Bloomberg API experience. ● Ability to work U.S. East Coast hours consistently (non-negotiable — daily live collaboration depends on it). ● Database experience: SQL and Postgres. Strong Plus ● Snowflake (cloud data warehouse). ● Azure cloud experience. ● JavaScript. ● Familiarity with capital markets or market data products. Nice for Later The MVP does not require AI/ML work. Over time the system is expected to move in that direction, so appetite to learn and grow into AI-enabled features is a genuine plus — and part of what makes this role interesting. Why This Role ● Completely Greenfield — you build the entire infrastructure from the ground up, not patch an existing system. ● Dedicated to one team, working directly with Rob and Rehan rather than split across clients. ● A clear path to grow into AI-enabled portfolio management as the system matures.

About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

We are seeking a Senior Software Engineer – Backend to design and build scalable backend systems that power Android-first mobile applications. The ideal candidate will have strong backend engineering expertise, experience supporting mobile applications, and a passion for building high-performance, reliable distributed systems that operate efficiently under constrained network conditions.

You will work closely with Android developers and cross-functional teams to build APIs and backend services that enable seamless mobile experiences, including offline synchronization, scalability, and high availability

What lands you in this role

Key Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs for Android/mobile applications.
• Build backend systems optimized for Android-first applications with a focus on performance, reliability, and scalability.
• Develop APIs that perform efficiently in low-bandwidth and intermittent network environments.
• Design and implement backend workflows that support offline synchronization, conflict resolution, and data consistency.
• Develop secure, resilient, and highly available microservices.
• Optimize application performance through efficient database design, caching strategies, and API optimization.
• Collaborate closely with Android engineers, Product Managers, QA, and DevOps teams throughout the software development lifecycle.
• Participate in architecture discussions, code reviews, and technical design decisions.
• Leverage AI-assisted development tools to improve engineering productivity and code quality.

Required Skills

• 4–7 years of professional experience in backend software development.
• Strong proficiency in Kotlin for backend development.
• Experience building backend systems supporting Android/mobile applications.
• Strong understanding of RESTful APIs, microservices, and distributed systems.
• Hands-on experience with Gradle (Kotlin DSL/KTS) for build automation and dependency management.
• Familiarity with Android Studio for debugging, API integration, and collaboration with Android teams.
• Experience with modern backend frameworks and scalable application architecture.
• Knowledge of relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar.
• Experience with caching technologies (Redis) and messaging/event streaming platforms (Kafka or RabbitMQ).
• Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud platforms.
• Proficiency with GitHub and modern Git-based development workflows.
• Experience using Visual Studio Code (VS Code).
• Familiarity with AI-powered developer tools such as Cursor, Windsurf, or similar Agentic IDEs.
• Strong understanding of CI/CD pipelines, containerization, and cloud-native application development.
• Excellent debugging, analytical, and problem-solving skills.

What we offer

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of th eAgentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

As a senior data scientist, you will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems that can be integrated with our products.

What this role entail

● Understand and translate statistics and analytics to address client business problems.

● Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon.

● Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy.

● Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients.

● Structure business problems and design solutions to meet client needs.

● Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams.

● Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights.

What lands you in this role

● At least 3 years hands-on experience as a data scientist working on SQL, Python

● Must have exposure to developing predictive analytics and machine learning algorithms for business applications

● Strong forecasting and Deep Learning experience will be a plus

● Hands-on experience in relevant tools like SQL, Python, Tableau, etc.

● B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software Leaderboard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Economic Times News about our funding can be accessed here.

Position: Site Reliability Engineer (SRE)

Location: Bangalore / Trichy

Experience: 4–6 Years

No of Open Positions: 2

We Need Immediate Joiners

We are hiring a hands-on Site Reliability Engineer (SRE) to support Kubernetes-based production platforms, automation, and cloud operations.

Mandatory (Non-Negotiable)

• Active CKA (Certified Kubernetes Administrator) certification – mandatory
• Strong hands-on Kubernetes Administration experience
• Linux Administration
• Scripting in Bash / Python / Terraform / GoLang
• Experience supporting production environments and troubleshooting infrastructure issues
• 4–6 years of experience
• Bangalore / Trichy location or willing to relocate
• 
  

Good to Have

• AWS Cloud exposure
• CI/CD & DevOps practices
• Monitoring, logging & observability tools
• Infrastructure as Code (IaC)

Key Responsibilities

• Administer, upgrade, scale, and troubleshoot Kubernetes clusters
• Automate operational tasks and infrastructure provisioning
• Support CI/CD pipelines and platform reliability initiatives
• Handle production incidents, RCA, and preventive actions

We're Hiring | Full Stack AI Engineer – Multi-Agent Systems

We are looking for a Full Stack AI Engineer who can own end-to-end feature delivery – from designing agent communication patterns and orchestration logic on the backend, to building intuitive interfaces for configuring, monitoring, and debugging agent workflows. You will work directly with the architect and product owner to translate orchestration concepts (agent-to-agent messaging, tool use, handoffs, memory) into a production-grade system.

This is a hands-on builder role. You will not be writing strategy decks – you will be shipping agents, APIs, and UI.

Location: Pune

Experience: 4–7 Years (1.5+ years in GenAI/AI Agents)

Employment Type: Full-time

Key Responsibilities

Backend & Agent Development

•       Design and implement multi-agent workflows using AG2 (AutoGen) and/or LangGraph – including agent roles, conversation patterns, handoffs, and termination conditions.

•       Build and maintain FastAPI services that expose orchestration capabilities (agent registration, task submission, run status, streaming responses) to the frontend and external consumers.

•       Implement tool/function calling, structured outputs, and memory layers (short-term, long-term, vector-based) for agents.

•       Integrate LLM providers (OpenAI, Anthropic, AWS Bedrock, or local models via Ollama) with proper retry, timeout, and cost controls.

•       Write clean, testable Python with type hints, pydantic models, and clear separation between orchestration logic and infrastructure.

Frontend Development

•       Build React-based interfaces for configuring agents, visualising agent conversations, inspecting tool calls, and debugging runs.

•       Implement streaming UI (SSE/WebSockets) to render token-by-token agent responses and intermediate steps.

•       Collaborate on UX for workflow builders, run history, and observability dashboards.

System & Production Concerns

•       Containerise services with Docker and contribute to CI/CD pipelines.

•       Add logging, tracing, and basic evaluation hooks for agent runs (latency, token usage, success rates).

•       Participate in code reviews, design discussions, and incremental hardening of the platform.

Must-Have Skills

•       Full stack experience (5+ years): strong Python (FastAPI or similar) on the backend AND React on the frontend. Comfortable owning a feature across both layers.

•       Hands-on with at least one agent framework: AG2 (AutoGen), LangGraph, LangChain Agents, or CrewAI. Must have actually built and run multi-agent flows, not just read about them.

•       LLM application development: prompt design, tool/function calling, structured outputs, handling streaming responses, and basic context management.

•       RAG fundamentals: chunking strategies, embeddings, vector stores (pgvector / Qdrant / Weaviate / FAISS), and retrieval evaluation. Bonus for hybrid (sparse + dense) retrieval.

•       Database skills: PostgreSQL – schema design, indexing, and writing reasonable queries.

•       API & async patterns: REST design, async Python (asyncio), background jobs, and streaming endpoints.

•       Version control & collaboration: Git, PR-based workflows, writing clear commit messages and design notes.

Good-to-Have Skills

•       Experience with GCS for deploying AI workloads.

•       Familiarity with LLMOps – tracing (LangSmith / Langfuse / OpenTelemetry), evaluation frameworks, and prompt versioning.

•       Exposure to MCP (Model Context Protocol) or A2A (agent-to-agent) communication standards.

•       Experience running local LLMs (Ollama, vLLM) for prototyping or cost-sensitive workloads.

•       Knowledge of WebSockets / SSE for real-time UIs.

•       Basic understanding of fine-tuning concepts (LoRA / QLoRA) – we are not expecting trainers, just awareness.

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

• Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
• Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
• I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Responsibilities:

• Develop user-facing features such as web apps and landing portals.
• Ensure the feasibility of UI/UX designs and implement them technically.
• Create reusable code and libraries for future use.
• Optimize applications for speed and scalability.
• Contribute to the entire implementation process, including defining improvements based on business needs and architectural enhancements.
• Promote coding, testing, and deployment of best practices through research and demonstration.
• Review frameworks and design principles for suitability in the project context.
• Demonstrate the ability to identify opportunities, lay out rational plans, and see them through to completion.

Requirements:

• Bachelor’s degree in Engineering with 10+ years of software product development experience.
• Proficiency in React, Django, Pandas, GitHub, AWS, and JavaScript, Python
• Strong knowledge of PostgreSQL, MongoDB, and designing REST APIs.
• Experience with scalable interactive web applications.
• Understanding of software design constructs and implementation.
• Familiarity with ORM libraries and Test-Driven Development.
• Exposure to the Finance domain is preferred.
• Knowledge of HTML5, LESS/CSS3, jQuery, and Bootstrap.
• Expertise in JavaScript fundamentals and front-end/back-end technologies.

Nice to Have:

• Strong knowledge of website security and common vulnerabilities.
• Exposure to financial capital markets and instruments.

Compensation and Benefits Package:

• Competitive compensation with a discretionary annual bonus.
• Performance-linked variable compensation.
• Medical insurance.

A note on location. While we have team centers in Boulder, New York City, San Francisco, Charlotte, and Mumbai, this role is based out of Bangalore

TIFIN is an equal-opportunity workplace, and we value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to any discrimination.

Hiiring for Python Full Stack Lead

Exp : 6 - 10 yrs

Edu : BE/B.Tech 60–65%

Work Location : Pune

Skills :

Python, React, Django, Django REST Framework

Experience: 4+ years of experience in Python

2+ years of experience in React.Js

Lead Experience Must

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Position: Data Engineer

Location: Ahmedabad, Gujarat (Onsite)

Employment Type: Full-Time

Experience Required: 3–6 Years

Notice Period: 30–60 Days

Interview Process

• 3 Virtual Interview Rounds
• Final Round at Ahmedabad Office

Required Skills

• Strong experience in Python and SQL
• Hands-on experience with ETL/ELT processes and data pipelines
• Experience with cloud platforms such as AWS, GCP, or Azure
• Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift, etc.)
• Familiarity with tools such as dbt, Airflow, or similar
• Good communication skills in English
• Strong analytical and problem-solving abilities with a collaborative mindset

Good to Have

• Experience in data modeling and performance optimization
• Exposure to real-time data processing and streaming technologies
• Understanding of data governance and data quality best practices

If this opportunity aligns with your experience and career goals, please share your updated resume

Job Summary

We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.

Key Responsibilities

* Design, develop, test, and maintain Python-based applications and automation solutions.

* Develop browser automation scripts for enterprise web applications using Python.

* Create robust and dynamic element selectors to handle changing web interfaces.

* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.

* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.

* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.

* Develop serverless applications using Azure Functions and integrate with Azure services.

* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.

* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).

* Configure and manage KEDA for event-driven application scaling.

* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.

* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.

* Troubleshoot production issues and implement permanent fixes.

* Participate in code reviews, testing, deployment, and release activities.

* Follow coding standards, security best practices, and application performance guidelines.

Required Skills

Python Development

* Strong experience in Python programming.

* Experience developing scalable backend applications and automation solutions.

* Experience with asynchronous programming and API integrations.

Browser Automation

* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.

* Experience creating dynamic selectors and handling dynamic web elements.

* Strong understanding of synchronization techniques, waits, retries, and exception handling.

* Experience implementing logging, monitoring, and debugging for automation solutions.

* Familiarity with CAPTCHA handling approaches and authentication workflows.

Azure Cloud

* Hands-on experience with Azure Functions.

* Experience with Azure Logic Apps.

* Experience using Azure Storage Accounts.

* Experience with Azure Service Bus.

* Experience with Azure Key Vault.

* Understanding of cloud-native application design and Azure security best practices.

Containerization & Deployment

* Experience with Azure Container Registry (ACR).

* Experience deploying applications to Azure Container Apps.

* Experience with Azure Container Instances (ACI).

* Experience configuring and managing KEDA for event-driven autoscaling.

* Familiarity with container-based deployments and application lifecycle management.

### API Development

* Experience building REST APIs using FastAPI or similar Python frameworks.

* Strong understanding of REST principles, JSON, authentication, and API integrations.

Databases

* Experience with SQL Server and/or PostgreSQL.

* Experience with Azure Cosmos DB.

* Ability to write efficient SQL queries and optimize database performance.

Frontend Development

* Experience with React.js, Node.js, or similar frontend technologies.

* Understanding of modern web application architecture and API consumption.

Additional Skills

* Experience with Git and version control.

* Strong debugging and analytical skills.

* Good communication and teamwork skills.

Preferred Skills

* Experience with OCR and document processing solutions.

* Experience with Azure AI or AI-based services.

* Experience with event-driven architectures.

* Experience working in Agile/Scrum environments.

* Experience with automation platforms such as UiPath is an added advantage.

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Job Title: Data Operations Specialist

Location: Jaipur (Candidates should be ready to relocate) (Nearby Locations)

Experience: 4–6 Years

Employment Type: Full-Time, Permanent

CTC: Up to ₹8 LPA

Shift Timings: 10:00 AM – 7:00 PM IST

Reporting To: VP – Delivery / Manager (as assigned)

About the Role

We are looking for a detail-oriented and analytical Data Operations Specialist to support our data-driven initiatives by ensuring the accuracy, consistency, and reliability of business data. The ideal candidate will have hands-on experience in data operations, SQL, ETL processes, and data quality management while collaborating with cross-functional teams to optimize data workflows and support business decision-making.

Key Responsibilities

• Execute data collection, enrichment, validation, and delivery activities for internal and customer projects.
• Monitor and improve data quality by identifying inconsistencies, resolving discrepancies, and implementing corrective measures.
• Develop and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with Engineering teams to support data integration, automation, and scalable data processes.
• Partner with Product, Business, and Operations teams to understand data requirements and deliver accurate datasets.
• Maintain data integrity by following data governance standards and quality assurance best practices.
• Validate and integrate external data sources and vendor-provided datasets.
• Support continuous improvement initiatives for data workflows and operational efficiency.
• Create reports and dashboards using data visualization tools to provide actionable business insights.
• Ensure compliance with organizational data standards and privacy regulations.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 4–6 years of experience in Data Operations, Data Management, Business Intelligence, or Data Analytics.
• Strong understanding of Data Governance, ETL processes, Data Validation, and Data Quality methodologies.
• Proficiency in SQL for querying and data manipulation.
• Advanced knowledge of Microsoft Excel or Google Sheets.
• Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to work independently and deliver reliable, high-quality solutions.
• Excellent verbal and written communication skills in English.
• Experience collaborating with cross-functional teams in a fast-paced environment.

Preferred Skills

• Experience with Python scripting or automation tools.
• Exposure to SaaS, B2B Data, Lead Intelligence, or Data Enrichment platforms.
• Knowledge of GDPR, CCPA, and other data privacy regulations.
• Familiarity with data integration tools and workflow automation.
• Ability to thrive in global and remote collaborative environments.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm specializing in building scalable digital solutions and enterprise-grade software applications. Operating at the intersection of cloud computing and data-driven development, the company serves a diverse portfolio of clients across the fintech, e-commerce, and logistics sectors. With a focus on engineering excellence and agile delivery, Euphoric Thought Technologies fosters a collaborative environment where developers are encouraged to solve complex architectural challenges and drive innovation in a fast-paced, high-growth landscape.

Role Overview:

As a Python Developer specializing in Azure, you will be responsible for designing, developing, and deploying robust backend services that power our core business applications. You will work closely with cross-functional teams, including product managers and cloud architects, to translate business requirements into high-performance technical solutions. Your work will directly influence the scalability and reliability of our platforms, ensuring seamless integration between our Python-based services and Azure cloud infrastructure to provide an optimal experience for our end users.

Key Responsibilities:

- Architect and maintain scalable backend services using Python to ensure high availability for enterprise applications.

- Develop and optimize RESTful APIs using Django and Flask frameworks to facilitate efficient data exchange between front-end systems and cloud databases.

- Implement and manage cloud-native solutions on Azure, including App Services, Functions, and SQL databases, to enhance system performance and reduce latency.

- Collaborate with the DevOps team to automate deployment pipelines and integrate CI/CD workflows, ensuring rapid and error-free software releases.

- Troubleshoot and resolve complex production issues by performing root cause analysis to maintain system integrity and minimize downtime for stakeholders.

- Mentor junior developers by conducting code reviews and promoting best practices in clean, maintainable, and secure coding standards.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python, with a deep understanding of Django and Flask frameworks.

- Proven ability to design, deploy, and manage cloud infrastructure on Microsoft Azure, including familiarity with Azure DevOps and cloud security protocols.

- Strong proficiency in database management and optimization, specifically with SQL and NoSQL databases integrated within cloud environments.

- Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders effectively.

- A collaborative mindset with the ability to thrive in a hybrid work environment based in Noida/Greater Noida, contributing to team goals through proactive communication.

- A Bachelor’s degree in Computer Science, Information Technology, or a related field, supported by 3 to 5 years of hands-on experience in backend development and cloud integration.

Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid

📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

What You'll Do

Quality Architecture

• Define company-wide quality strategy.
• Architect automation frameworks from the ground up.
• Establish testing standards and engineering practices.

AI Systems Testing

Own validation strategies for:

• LLM Applications
• Voice AI Platforms
• Conversational AI
• Agentic Systems
• Multimodal AI

Build frameworks for:

• Hallucination testing
• Safety testing
• Regression detection
• AI performance measurement

Automation Engineering

Drive testing across:

• APIs
• Databases
• Web Applications
• Mobile Applications
• Distributed Systems
• Performance Engineering

Leadership

• Mentor and guide engineers.
• Drive engineering excellence.
• Influence release and architecture decisions.

What We're Looking For

• 6–10 years in SDET or QA Automation.
• Strong product engineering background.
• Expert-level coding in Python and Java.
• Deep expertise in:
• Selenium
• Playwright
• Appium
• PyTest
• TestNG
• REST Assured
• Strong understanding of:
• Distributed Systems
• System Design
• CI/CD
• SDLC
• STLC
• Experience building automation frameworks from scratch.
• Strong mentoring and technical leadership skills.

Why Join Us?

• Own quality engineering for category-defining AI products.
• Influence engineering strategy and architecture.
• Work on cutting-edge healthcare AI systems.

Senior DevOps Engineer

Location: India, Remote

Type: Contract

Department: Engineering

About Us

OpenAssets is building open standards for the next generation of capital markets, providing the trusted foundation for real-world asset tokenization and digital currencies.

We specialize in alternative asset digitization, offering regulatory-conscious tools to design, issue, and manage digital assets in complex financial environments. We also develop loyalty solutions that turn customer engagement into programmable digital assets, helping brands create personalized experiences that drive growth.

OpenAssets operates at the intersection of finance, technology, and regulation focused on building secure, scalable, and open infrastructure for the future of digital markets. Join OpenAssets and be part of shaping the future of digital finance!

Overview

We are seeking a Senior DevOps Engineer to lead the evolution of our cloud infrastructure and deployment ecosystems.

This role acts as the foundation of our engineering reliability, bridging the gap between high-performance blockchain development and robust, secure cloud operations. You will be responsible for architecting scalable AWS environments, automating mission-critical CI/CD pipelines, and ensuring the absolute integrity of our security and observability frameworks.

What You’ll Do

Cloud Infrastructure & Architecture

• Design, provision, and maintain OpenAssets’ AWS infrastructure: including EC2, ECS/Fargate, Lambda, S3, RDS, VPC, IAM, CloudFront, SQS, ElastiCache, and CloudWatch.
• Architect for high availability, fault tolerance, and cost efficiency across production and non-production environments.
• Manage networking, security groups, subnets, load balancers, and access controls to ensure a secure and well-segmented cloud environment.
• Scale infrastructure dynamically to handle platform growth, partner onboarding, and peak load events.
• Deploy, configure, and manage blockchain node infrastructure supporting on-chain integrations and smart contract interactions.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using GitHub Actions and/or AWS CodeBuild for frontend, backend, and smart contract deployments.
• Manage infrastructure as code using Terraform (or OpenTofu) and/or CloudFormation to ensure reproducible, auditable environments.
• Automate build, test, and deployment processes to minimize manual effort and reduce release risk.
• Develop and maintain automation scripts in Python and Bash for operational and provisioning workflows.
• Administer and scale Kubernetes clusters (EKS) for deploying services and blockchain node infrastructure.

Security & Compliance

• Implement and enforce security best practices across infrastructure: TLS, VPNs, IAM roles, private key management, secrets management, and patch management.
• Work with the CISO to conduct infrastructure security audits and maintain compliance with data handling, uptime, and audit logging requirements.
• Manage secrets and environment configuration securely using AWS Secrets Manager or HashiCorp Vault.
• Ensure encryption at rest and in transit across all critical data stores and communication channels.
• Apply knowledge of blockchain security, including consensus mechanisms, smart contract interactions, and Layer 2 infrastructure, to harden on-chain components.

Observability & Incident Response

• Set up and maintain monitoring, alerting, and dashboards for key platform metrics using CloudWatch, Prometheus, Grafana, or equivalent.
• Establish structured logging and distributed tracing practices (OpenTelemetry or similar) across services.
• Lead incident response for production issues, triaging, communicating, resolving, and writing blameless postmortems.
• Design, implement, and regularly test backup and disaster recovery strategies to minimize data loss and downtime.

Collaboration & Enablement

• Support engineering teams in troubleshooting environment-specific issues across development, staging, and production.
• Document infrastructure architecture, runbooks, and operational procedures — keeping them current and actionable.
• Train developers on deployment tooling, CI/CD workflows, and on-call processes.
• Evaluate and introduce new tooling and practices to improve DevOps maturity across the organization.

Qualifications & Experience

• 5+ years of experience in DevOps, SRE, or cloud infrastructure engineering.
• Deep hands-on expertise with AWS: EC2, ECS/Fargate, Lambda, RDS, S3, VPC, IAM, CloudWatch, SQS, CloudFront, and ElastiCache.
• Strong experience with infrastructure as code using Terraform, OpenTofu, and/or CloudFormation.
• Proficiency with containerization and orchestration (Docker, Kubernetes / EKS).
• Experience designing and maintaining CI/CD pipelines using GitHub Actions, AWS CodeBuild, GitLab CI, or similar.
• Solid Linux systems administration and scripting skills (Bash, Python).
• Strong understanding of cloud networking and security: TLS, VPCs, security groups, IAM, private key management, secrets management.
• Experience with monitoring and observability tooling: CloudWatch, Prometheus, Grafana, ELK stack, or equivalent.
• Familiarity with distributed tracing (OpenTelemetry, Jaeger, or similar).
• Working knowledge of blockchain technologies: consensus mechanisms, smart contract infrastructure, or Layer 2 scaling solutions.
• Calm, systematic problem-solving approach to production incidents and outages.
• Strong communication skills, able to explain infrastructure concerns clearly to both technical and non-technical stakeholders.
• Fluid in English

Nice to Have

• AWS certifications (Solutions Architect, DevOps Engineer Professional, or equivalent).
• Experience deploying and operating blockchain node infrastructure (Ethereum, Polygon, or similar).
• Background in fintech, capital markets, payments, or regulated infrastructure environments.
• Experience with security frameworks and compliance standards (SOC 2, ISO 27001).
• Multi-tenant SaaS infrastructure experience.
• Experience with event-driven architectures (Kafka, SQS, BullMQ).
• Cost optimization practices: reserved instances, Savings Plans, right-sizing.
• Infrastructure as code with Pulumi or CDK.
• Open-source contributions or technical writing.

We are committed to providing equal opportunity for qualified applicants to contract positions, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. This is a contract opportunity, not a direct employment role.

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

Experience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)

 ---

 WHAT WE'RE BUILDING

 See http://www.juliet.space

 We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They

 tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.

 That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,

 recover, ship.

 Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill

 modules. The agent isn't bolted onto the product. She is the product.

 Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.

 ---

 THE ROLE

 We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the

 streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.

 This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in

 between.

 Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack

 features when needed.

 ---

 THE STACK

 AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers

 API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events

 Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments

 Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js

 Monorepo: Turborepo, pnpm

 ---

 WHAT YOU'LL WORK ON

 The majority of your time is here:

 Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery

 across 83 tools and 63 skill modules. This is the core of the product.

 Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,

 reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.

 Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild

 bundling. The agent lives here.

 State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How

 the agent knows what it knows.

 Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.

 Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result

 caching. Audit-at-scale infrastructure.

 The remaining ~25% of your time:

 Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these

 end to end — backend first, frontend to close the loop.

 ---

 WHAT WE'RE LOOKING FOR

 Must-have:

 - 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is

 the norm for people who thrive here.

 - Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.

 - Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool

 use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.

 - Strong Python. You design and ship production Python daily. The agent codebase is yours to own.

 - Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.

 - AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about

 working with coding agents because you do it constantly.

 - Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.

 - Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.

 Strong plus:

 - Background in developer tools, IDEs, or coding/execution platforms

 - Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)

 - Depth in PostgreSQL, Redis, and Supabase

 - LLM observability and evals tooling (LangSmith or similar)

 - NestJS or equivalent Node.js API framework experience

 - React/Next.js — enough to ship a full-stack feature without handoff

 - Exposure to marketing, growth, or publisher-facing products

 ---

 WHY THIS ROLE IS DIFFERENT

 You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.

 The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision

 touches what Juliet can and can't do.

 Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical

 users who can't course-correct a broken output. The bar is high.

 Small team, real leverage. Your code ships to users the same week. No layers of approval.

 ---

 HOW TO APPLY

 Send us:

 1. A short note on the most complex agentic system you've shipped: what broke, and what you'd redo. A link to something you've built that involves agent graphs, tool use, or autonomous multi-step execution

 2. What is one thing you would improve about Juliet? It could be a feature or a bug.

Job Summary

We are looking for an experienced AI Data Architect to design and build an enterprise AI-ready data platform that serves as the single source of truth for AI applications, including RAG, Agentic AI, Conversational AI, ML models, and analytics.

Key Responsibilities

• Design enterprise AI data platform and Lakehouse architecture.
• Build batch & real-time data pipelines.
• Develop semantic models, knowledge graphs, and vector databases.
• Architect RAG and LLMOps infrastructure.
• Implement data governance, security, and AI observability.
• Modernize legacy data platforms to cloud-native architectures.

Required Skills

• Python, SQL, PySpark
• Databricks, Delta Lake, Snowflake
• Kafka, Spark Structured Streaming
• AWS / Azure
• LangChain, LlamaIndex
• OpenAI, Claude, Bedrock
• Pinecone, FAISS, ChromaDB, Neo4j
• MLflow, Docker, Kubernetes, Terraform
• FastAPI, GitHub Actions, Jenkins
• Data Governance, RBAC, CI/CD

Requirements

• 12+ years in Data Engineering/Data Architecture.
• Experience with AI/ML, RAG, LLMOps, and enterprise AI platforms.
• Strong expertise in Lakehouse, Data Mesh, Cloud, and Vector Databases.
• Hands-on experience with enterprise-scale AI data architecture and governance. 

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures