50+ Python Jobs in India

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

Job Description

To be successful in this role, you should have experience with:

• AWS hands on with S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services.
• Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).
• Experience of Technical Design for ETL/Hadoop/AWS components.
• Knowledge of Data Warehousing.

Some other highly valued skills may include:

• Expertise in SQL, advanced SQL skills.
• Expertise in shell scripting and programming (Scala/Python).
• Knowledge of ETL technologies preferably Ab Initio.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 

The location of the role is Pune.

Senior Software Engineer

Location: Pune, India (Hybrid)

Job Type: Full-Time

About This Role

As a Senior Software Engineer, you are a full-stack technical owner. You design the solution, write the hard code, mentor junior engineers, and ensure nothing reaches production that you would not be proud to review. You will work on cloud-native healthcare platforms serving major US health plans, and are expected to bring architecture thinking, AI proficiency, and a high ownership mindset to every sprint.

About Us

We are the Solutions-as-a-Service arm who represents a shift from traditional outsourcing models toward outcome-led execution.

We do not sell effort, transactions, or headcount. It delivers measurable business outcomes. Built on more than 130 years of combined healthcare payer expertise, the organization brings together deep domain knowledge, AI-driven platforms, and operational excellence to solve complex challenges across the payer ecosystem.

The group’s flagship company has spent over 17 years building cloud-native platforms that support health plans managing billions in premiums and millions of members. These capabilities are extended and positioned as the Industry OS for AI, enabling intelligent automation of complex workflows at scale. We integrate these strengths into a single execution model. Teams are embedded with clients from day one, applying proven workflows, platform intelligence, and domain expertise to accelerate outcomes without a learning curve.

With headquarters in Chicago and a global delivery center in Pune, and a team of 300+ professionals, we are focused on transforming payer operations across claims, enrollment, billing, provider data management, appeals and grievances, and independent dispute resolution.

What You’ll Do

•Own end-to-end design and delivery of full-stack features across .NET Core backend and React frontend

•Lead technical design sessions - propose solutions, evaluate trade-offs, document decisions

•Mentor and code-review junior and mid-level engineers; raise the technical bar of the team

•Communicate proactively with business teams, product, and client-facing leads on requirements and delivery timelines

•Troubleshoot and resolve complex production issues independently and with speed

•Enforce source code quality standards: pull request hygiene, branching discipline, and test coverage gates

•Drive Agile sprint ceremonies - own estimation, WBS breakdown, and sprint commitment

•Architect and integrate Azure PaaS services into the platform including AKS, App Services, Function Apps, Service Bus, and Key Vault

•Champion Claude AI and Claude Code across the team - demonstrate AI-assisted code scaffolding, test generation, and review acceleration

•Surface technical risks early; propose and own mitigation paths

Tech Stack

•App: .NET Core / C#, ASP.NET Core Web API, Entity Framework Core

•Frontend: React JS, JavaScript / TypeScript

•Scripting: Python - scripting, automation, and data processing

•Data: SQL Server, PostgreSQL, T-SQL, CQRS / MediatR

•Cloud: Azure AKS, App Services, Function Apps, Service Bus, Key Vault

•Delivery: Azure DevOps, CI/CD pipelines, Git

•AI: Claude AI, Claude Code, Anthropic API

What You Bring

•5 to 8 years of overall experience in software development

•.NET Core (C#) - deep, production-grade experience with complex backend systems

•ASP.NET Core Web API - design, versioning, authentication, and performance tuning

•React JS - component architecture, state management, and performance optimization

•Python - scripting, automation pipelines, or data processing tasks

•SQL Server and/or PostgreSQL - advanced query design, indexing, execution plans, and schema ownership

•CQRS pattern - practical implementation experience, MediatR preferred

•Design Patterns and SOLID Principles - applied, not just theoretical

•Entity Framework Core - including migrations, raw SQL fallback, and N+1 awareness

•Azure DevOps - pipeline creation and management, not just consumption

•Strong analytical and problem-solving skills - you debug what others cannot

•Excellent written and verbal communication in English

•Degree in Engineering, Computer Science, or equivalent from a recognized university

Good to Have

•Azure PaaS services - AKS, App Services, Function Apps, Service Bus, Key Vault, API Management

•Microservices architecture and inter-service communication patterns

•Unit and integration testing frameworks such as xUnit, NUnit, Moq, or TestContainers

•PostgreSQL advanced features - JSONB, partitioning, replication, or indexing strategies

•Infrastructure-as-Code exposure with Bicep or Terraform on Azure

•Healthcare payer domain knowledge - claims, enrollment, benefits, or provider data

•Familiarity with Anthropic API or LLM integration patterns in production applications

AI Proficiency

This is not a checkbox. We are an AI-native engineering org. We use Claude AI and Claude Code daily. As a Senior Engineer you are expected to:

•Use Claude Code or an equivalent AI coding assistant actively - integrated into your daily PR and design workflow

•Apply AI for intelligent test coverage, boilerplate acceleration, and architectural spike analysis

•Bring AI-assisted patterns into your team - teach, demonstrate, and help standardize usage

•Evaluate AI-generated code critically: know where it needs human oversight and correction

Functional Competencies

•Technical leadership - raise the quality bar through standards, reviews, and visible contribution

•Agile/Scrum mastery - sprint planning, retrospectives, and WBS discipline

•Cross-functional collaboration with product, infrastructure, and client-facing teams

•Mentorship - you make junior engineers better through reviews and pairing, not just criticism

•Outcome orientation - you measure success by shipped value and defect escape rate, not lines of code

Why Join Us

•Own complex, high-stakes engineering on healthcare SaaS platforms serving millions of members

•AI-native culture - Claude AI and Claude Code are daily tools, and you will help define how the team uses them

•Senior engineering voice in architecture, hiring, and technical direction

•Competitive base salary with strong performance-linked incentives

•Health insurance and learning and development support

•Hybrid setup from our Pune delivery center with direct access to US leadership

•Startup agility, enterprise domain depth, and a 300+ person global team behind you

Mandatory Skills:

• Strong hands-on experience in Python
• Experience in Generative AI / LLMs
• Good understanding of FinTech or Banking domain
• Experience with APIs and Microservices
• SQL/Database knowledge
• Cloud platform experience (AWS/Azure/GCP)
• Strong communication and problem-solving skills

Purpose of the role

To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. 

Accountabilities

• Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards.
• Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. .
• Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested.
• Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an IFC - ETL Automation Tester, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.  

To be successful as an IFC - ETL Automation Tester, you should have experience with:

• Expertise in ETL too e.g. Informatica or AbInitio.
• Develop and execute ETL test cases, Test scripts and data validation scenarios.
• Validation on data extraction, transformation and loading along with data completeness.
• Test Automation experience in developing and implementing ETL test automation scripts using Python, SQL scripting, QuerySurge, Unix and Shell Scripts.
• Automate comparison, schema validation and regression testing.
• Integrate test automation with CICD pipeline (Jenkins, Gitlab, DevOps)
• Optimize and maintain automated test suite for scalability and performance.
• Understand requirements, user stories and able to relate them with design document.
• Work closely with business analyst, Dev team to define the test scope. 
• Maintain Test Plan, Test Data and Automation in version control.
• Document best practices, lesson learnt and continues improvement strategies. 
• Identify and log defects via JIRA & defect management. 
• Work with business analyst and developers to troubleshoot data issues and pipeline failures.
• Provide detailed report on test execution, coverage, and defect analysis.
• Understanding of agile development/test methodology and practice it in day-to-day work
• Unearth gaps between business requirement and User stories
• Ensure ETL process adhere to data privacy and compliance. Validate data masking encryption and access control. Audit and data Recon testing to tack the data modification. 

Some other highly valued skills may include:

• Detail understanding of Cloud technology viz AWS, Confluent Kafka
• Good if have hands on experience in BDD / TDD

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

Job description:

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please note: This is not a standard Big Data / Infra-heavy Data Engineering role. We are specifically looking for a SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic. Python will be your primary tool for moving and orchestrating data, but SQL and database architecture are the heart of this role.

Key Responsibilities

• Database Architecture & Schema Design: Design, implement, and maintain robust relational database schemas, ensuring optimal data modeling (OLTP and OLAP/Data Warehousing).
• Advanced Database Programmability: Write, debug, and optimize complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Performance Tuning & Indexing: Analyze query execution plans, identify bottlenecks, and implement advanced indexing strategies, partitioning, and query refactoring to ensure sub-second response times.
• Python ETL/ELT Pipelines: Develop, schedule, and maintain scalable data ingestion and transformation pipelines using Python to connect disparate data sources.
• Data Integrity & Governance: Establish constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing complex queries (CTEs, Window Functions, Analytical queries) and server-side logic (Stored Procedures/Functions) in platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep understanding of how databases work under the hood—specifically indexing (B-Tree, Hash, Clustered/Non-Clustered), execution plans, statistics, and locking/concurrency mechanisms.
• Python for Data Ingestion (3+ Years): Proficient in writing clean, modular Python scripts for data manipulation, API integration, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, Normalization (3NF), and handling Slowly Changing Dimensions (SCD).

Remote & Soft Skills

• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.
• Legacy Refactoring Mindset: You enjoy opening up a massive, poorly optimized 500-line stored procedure and refactoring it for 10x performance.

Nice-to-Haves

• Experience migrating legacy on-premise stored procedures to modern cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Experience with dbt (data build tool).

Work Location: Remote

Company Overview:

Pripton Innovations is a dynamic technology company focused on developing cutting-edge AI-powered solutions for the AI services industry. We build and deploy sophisticated platforms that leverage large language models (LLMs) to automate complex processes, enhance decision-making, and improve customer experiences. Our solutions are currently utilised by several leading institutions, impacting millions of users globally.

Role Overview:

As a Fullstack Product Engineer at Pripton Innovations, you will be instrumental in designing, developing, and deploying innovative features for our core AI platform. You will collaborate closely with product managers, designers, and other engineers to translate product requirements into robust, scalable, and user-friendly solutions. Your work will directly impact the efficiency and effectiveness of our AI-driven tools, ultimately driving better outcomes for our clients and their customers.

Key Responsibilities:

- Develop and maintain high-quality, performant APIs using NestJS and FastAPI to support our AI-powered applications.

- Build and enhance interactive user interfaces with Next.js and Tailwind CSS, ensuring a seamless and engaging user experience.

- Implement real-time communication features using Socket.io to facilitate dynamic interactions within our platform.

- Design and optimise database schemas and ORM configurations to ensure efficient data storage and retrieval.

- Deploy and manage applications using Docker and container orchestration technologies to maintain high availability and scalability.

- Write clean, well-documented, and testable code, adhering to industry best practices.

- Collaborate with cross-functional teams to define, design, and ship new features.

- Troubleshoot and resolve production issues, ensuring minimal disruption to our users.

- Contribute to the continuous improvement of our development processes and tools.

Required Skillset:

- Demonstrated ability to design and implement scalable and maintainable full-stack applications.

- Proven experience with backend technologies such as NestJS, FastAPI, and Python.

- Expertise in frontend development using Next.js and Tailwind CSS.

- Proficiency in working with databases and ORM frameworks.

- Solid understanding of real-time communication protocols and experience with Socket.io.

- Experience with containerization technologies like Docker and Git version control.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.

- Bachelor's degree in Computer Science or a related field.

- Adaptability to a remote work environment and ability to manage time effectively.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

To be successful as a Lead Data Engineer, you should have experience with:

• AWS cloud services such as S3, Glue, Athena, Lake Formation, CloudFormation etc.
• Python language on senior level for data engineering and automation purposes
• Snowflake, ETL frameworks, data transformation and data quality tools
• Some other highly valued skills may include:
• AWS Data Engineer certification
• Previous working experience within banking or financial services domain
• Experience with IAM and Permissions management in AWS cloud
• Experience with Databricks, Snowflake, Starburst, Iceberg
• You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Key Requirements:

• Strong programming skills in Python and MATLAB
• Ability to develop, test, and optimize research-based models and algorithms
• Good understanding of data analysis, simulations, and problem-solving techniques
• Familiarity with technical documentation and research workflows

Preferred (Plus Point):

Prior experience working in a research environment or academic projects

Education:

Bachelor’s degree in Computer Science, Engineering (BE), or a related field.

Experience:

Minimum 2+ years of hands-on experience in Python and MATLAB.

Job Title : AI Engineer

Experience : 2+ Years

Location : Mumbai (Onsite)

Employment Type : Full-Time

Reports To : AI Architect

About the Role :

We are looking for an AI Engineer with 2+ years of experience to design, assess, validate, and deploy AI solutions for enterprise clients. This is a hands-on role focused on building scalable, production-ready AI systems aligned with business outcomes.

The ideal candidate should enjoy solving complex problems, working with emerging AI technologies, and translating business needs into practical AI solutions.

Mandatory Skills :

Python, Large Language Models (LLMs), Generative AI, AI Agents/Agentic Workflows, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs (or equivalent), Vector Databases, REST APIs, AI Workflow Orchestration, Client-Facing Experience, and Strong Analytical & Problem-Solving Skills.

Key Responsibilities :

• Analyze and improve existing AI workflows, LLM implementations, and AI agents.
• Design AI solutions and agent workflows aligned with business objectives.
• Define and implement AI guardrails, governance practices, and risk controls.
• Build evaluation frameworks to measure accuracy, reliability, latency, and cost efficiency.
• Ensure AI systems are scalable, secure, and production-ready.
• Work closely with stakeholders and communicate technical concepts clearly.

Required Skills & Qualifications :

• 2+ years of experience in AI/ML Engineering, Generative AI, Machine Learning, or related domains.
• Strong analytical thinking and problem-solving skills with a systems-oriented mindset.

Hands-on experience with :

• Large Language Models (LLMs)
• AI Agents and Agentic workflows
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI workflow orchestration

Strong proficiency in :

• Python
• REST APIs
• Data structures and algorithms
• Experience working with:
• LangChain or similar frameworks
• OpenAI APIs or equivalent AI platforms
• Vector databases
• Embedding models

Understanding of :

• AI governance
• Model evaluation techniques
• Responsible AI principles
• Strong written and verbal communication skills.

Preferred Skills :

• Experience in client-facing or consulting environments.
• Exposure to enterprise AI implementations and production deployments.

Experience with :

• Cloud platforms (AWS, Azure, or GCP)
• Docker and containerized deployments
• MLOps practices
• AI monitoring and observability tools
• Exposure to regulated or high-risk industries is a plus.

Educational Qualification :

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.
• Equivalent practical experience with strong projects and technical expertise may also be considered.

About the Role 

We are seeking an experienced Cyber Security Specialist who can operate across both offensive and defensive security disciplines. This dual-role professional will lead Vulnerability Assessment and Penetration Testing (VAPT) engagements, act as the in-house Red Team to simulate real-world adversaries, and own the implementation and continuous improvement of the Information Security Management System (ISMS) aligned with ISO/IEC 27001 and related standards. You will combine hands-on offensive security work with governance, audit readiness, and stakeholder engagement across engineering, IT, legal, and executive leadership. 

Key Responsibilities 

VAPT & Red Team Operations 

• Plan, scope, and execute end-to-end Vulnerability Assessment and Penetration Testing (VAPT) engagements across web applications, mobile apps, APIs, networks, cloud environments, wireless, and physical infrastructure. 
• Act as the organization's in-house Red Team, simulating advanced persistent threat (APT) actors through adversary emulation, social engineering, phishing campaigns, and physical intrusion testing where authorized. 
• Design and execute Red Team operations aligned with MITRE ATT&CK, TIBER-EU, and similar frameworks; develop custom Tactics, Techniques, and Procedures (TTPs). 
• Conduct manual and automated exploitation, post-exploitation, lateral movement, privilege escalation, and persistence testing in production-like environments. 
• Develop custom exploits, payloads, scripts, and tooling (Python, PowerShell, Bash, C/C++, Go) to bypass security controls during sanctioned engagements. 
• Perform source code reviews, threat modeling, and secure architecture reviews of new and existing systems. 
• Coordinate Purple Team exercises with the Blue Team / SOC to validate detection coverage and improve defensive playbooks. 
• Produce high-quality VAPT and Red Team reports with executive summaries, technical findings, proof-of-concept exploits, risk ratings (CVSS), and prioritized remediation guidance. 
• Re-test remediated findings and track closure with engineering and IT teams through to verification. 

ISO Compliance & Governance 

• Lead the implementation, maintenance, and continual improvement of the ISMS in line with ISO/IEC 27001:2022, including scope definition, Statement of Applicability (SoA), and risk treatment plans. 
• Own and maintain ISO policies, procedures, controls, and documentation across the organization, ensuring alignment with ISO 27001, ISO 27017, ISO 27018, and ISO 22301. 
• Plan and coordinate internal and external audits; serve as the primary liaison with certification bodies, auditors, and regulators. 
• Conduct risk assessments, business impact analyses (BIA), and threat modeling; maintain a central risk register and drive remediation. 
• Map VAPT and Red Team findings to ISO 27001 Annex A controls and feed results into the risk management lifecycle. 
• Support compliance with adjacent frameworks: SOC 2, NIST CSF, GDPR, HIPAA, PCI-DSS, and DPDP Act (India), as applicable. 
• Define and report security and compliance KPIs/KRIs to senior leadership; prepare materials for management reviews and board updates. 
• Develop and deliver security awareness training, phishing simulations, and role-based secure-coding training. 
• Drive third-party / vendor risk management, including security questionnaires, contractual clauses, and ongoing monitoring. 
• Partner with engineering and DevOps to embed security into the SDLC, CI/CD pipelines, and cloud architectures (DevSecOps). 

Incident Response & Continuous Improvement 

• Support incident response activities: detection, triage, containment, eradication, recovery, and post-incident reviews. 
• Maintain business continuity and disaster recovery plans; coordinate BCP/DR testing and tabletop exercises. 
• Stay current on emerging threats, CVEs, attacker techniques, regulatory changes, and ISO standard updates; recommend and drive improvements. 

Required Qualifications 

• 8+ years of progressive experience in cyber security, with at least 4 years in hands-on offensive security (VAPT, penetration testing, or Red Team) and 3+ years in ISO 27001 implementation and audits. 
• Proven track record of leading VAPT engagements across web, mobile, API, network, cloud (AWS / Azure / GCP), and wireless environments. 
• Hands-on experience executing Red Team operations and adversary emulation aligned with MITRE ATT&CK. 
• Deep proficiency with offensive security tooling: Burp Suite Pro, Metasploit, Cobalt Strike (or open-source equivalents like Sliver, Mythic, Havoc), Nmap, Nessus, Nuclei, BloodHound, Impacket, Responder, and OWASP ZAP. 
• Strong scripting and exploit development skills in Python, PowerShell, Bash, and at least one compiled language (C/C++, Go, or Rust). 
• Proven hands-on experience leading an organization through ISO 27001 certification and surveillance audits end-to-end. 
• Strong working knowledge of ISO/IEC 27001:2022 (including Annex A controls), ISO 27002, ISO 27017, ISO 27018, and ISO 22301. 
• Solid understanding of security domains: IAM, network security, endpoint security, cloud security, application security (OWASP Top 10, API Security Top 10), and Active Directory attack paths. 
• Experience with risk assessment methodologies (ISO 27005, NIST 800-30) and the ability to translate offensive findings into business risk. 
• Strong report-writing, policy-drafting, and executive communication skills. 
• Bachelor's degree in Computer Science, Information Security, Engineering, or a related field (or equivalent experience). 

Preferred Qualifications 

• Offensive security certifications: OSCP, OSEP, OSWE, OSED, CRTO, CRTP, CRTE, CRTL, GPEN, GXPN, GWAPT, or CEH Practical. 
• Governance certifications: ISO 27001 Lead Implementer and/or Lead Auditor, CISSP, CISM, CISA, or CRISC. 
• Cloud security certifications (CCSP, AWS Security Specialty, Azure Security Engineer, or GCP Professional Cloud Security Engineer). 
• Published CVEs, security research, bug bounty achievements, or contributions to open-source security tools. 
• Experience with Active Directory / Entra ID red teaming, Kerberos attacks, and modern EDR/XDR evasion techniques. 
• Experience with container, Kubernetes, and serverless security testing. 
• Experience implementing or auditing additional frameworks: SOC 2 Type II, NIST CSF, NIST 800-53, HITRUST, or PCI-DSS. 
• Experience with GRC platforms (Vanta, Drata, Sprinto, ServiceNow GRC, Archer, OneTrust). 
• Experience in regulated industries: financial services, healthcare, SaaS, or critical infrastructure. 
• Experience briefing executive leadership, customers, and external auditors on offensive findings and remediation strategy. 

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

About VerbaFlo.ai 

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview 

We are looking for an Engineering Manager to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Job Type: Onsite [Mon - Fri]

Shift Timings: 12 pm to 8 pm IST

Responsibilities 

• Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
• Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
• Ensure the reliability, security, and performance of backend systems.
• Write clean, maintainable, and efficient code using modern backend practices.
• Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
• Own the end-to-end lifecycle of backend features, from architecture to deployment.
• Monitor production systems and resolve performance and scalability issues.
• Contribute to architectural decisions and help evolve our engineering best practices.
• Lead and define backend architecture decisions, ensuring systems are built for long-term scalability and maintainability.
• Mentor and guide junior and mid-level engineers through code reviews, technical discussions, and design feedback.
• Act as a technical anchor for cross-functional initiatives, translating ambiguous product requirements into clear engineering plans.

Requirements 

• 7-11 years of overall experience in backend development [Required]. 
• 1-2+ years of experience working as an Engineering Manager [Required].
• 2-4 years of experience working in a startup [Seed/Series A or B] [Required]
• Proficiency in Node.js, Python, or Go.
• Deep understanding of RESTful API design.
• Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
• Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
• Experience with Git, CI/CD tools, and writing unit/integration tests.
• Strong problem-solving skills and a mindset geared toward performance and security.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

How do Technogisers function?

Value: Exploring technologies and implementing them on the projects provided they make business sense and deliver value.

Engagement: Be it offshore or onshore, we engage ourselves daily with the clients. This assists in building a trustworthy relationship at the same time, collaborating to come up with strategic solutions to business problems.

Solution: We are involved in providing hands-on contributions towards Backend & Front-end design and development at the same time, flourishing our DevOps culture.

Thought Leadership: Attend or present technical meet-ups/workshops/conferences to share knowledge and help build Technogise brand.

Note: All our roles are customer-facing roles.

This is a full-time 5 days work from office role as a Technology Consultant (Lead) located in Bangalore (Indiranagar).

Core Skills:

• We are looking for Lead engineer of industry experience exclusively in Python, React, AWS, Kubernetes, Docker, AI-first delivery mindset.
• You are also an advocate of good engineering practices
• Influence technical decision-making and high-level design decisions - choice of frameworks and tech approach
• Demonstrate the ability to understand different approaches for application, and integration and influence decisions by making appropriate trade-offsWays of working:
• You communicate effectively with other roles in the project at the team and client levels
• You drive discussions effectively at the team and client levels. Encourage others to participate

Going beyond:

• Establish credibility within the team as a result of technical and leadership skills
• Mentoring fellow team members within the project team and providing technical guidance to others beyond project boundaries
• Actively participate in organisational initiatives

Lead Data Scientist

Experience : 8+ Years

Location: Remote

Must Have Skills- Forecasting, Git, Classification, Code_Templates Regression, Python, SQL

Technical Leadership: Define the data science roadmap and technical standards for the team.

Oversee the end-to-end lifecycle of ML models, from research to production.

Generative AI & LLMs: Lead the integration of Large Language Models (LLMs) and Agentic workflows into company products, focusing on fine-tuning, RAG (Retrieval-Augmented Generation), and cost-optimization.

Strategic Alignment: Partner with Product, Engineering, and Business leads to identify high-impact opportunities for predictive analytics and automation.

Mentorship: Foster a culture of excellence by mentoring junior and senior scientists, conducting peer reviews, and promoting continuous learning.

MLOps & Scalability: Ensure models are robust, interpretable, and scalable by collaborating with ML Engineers to implement CI/CD for ML (MLOps).

Data Governance & Ethics: Champion data privacy and ethical AI practices, ensuring models are free from bias and compliant with evolving global regulations

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

● Ability to work in a fast-paced, innovation-driven environment

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies

Mandatory (Note) : This role is a hybrid role (2 days WFO)

We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role

If you're interested in this position, revert to this mail along with your updated CV.

Experience : 5 to 12 years

Location : Hyderabad, Bangalore

Required Skill set :  Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas

Roles & Responsibilities :

We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.

1.  Proficient in Python programming and machine learning frameworks
2.  Strong experience in developing and deploying machine learning models
3.  Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
4.  Basic understanding of computer vision techniques for image recognition or object detection
5.  Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
6.  Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
7. · Proficient in FastAPI for building and deploying RESTful APIs
8. Experience with CI/CD pipelines for deploying FastAPI applications
9.  Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
10. Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
11. Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
12.  Experience with Autogen and MCP for automation and model management
13.  Knowledge of Docker and Kubernetes for containerization and orchestration
14. Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
15. Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
16.  Strong analytical and problem-solving skills
17.  Strong communication skills with the ability to collaborate effectively in a team environment
18. Proactive attitude with the ability to independently lead small teams

AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.

Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.

A Few Problems We Are Currently Working On

• AI Agents Test-authoring agents that convert natural language into e2e tests.
• Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
• Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
• RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
• AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.

Signals You're Probably the Right Fit

• Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
• First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
• Evidence of shipping real AI-powered software—OSS, side projects, or production features.
• Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
• Clear written & spoken communication; async collaboration is our default.
• Self-directed—you ask for context, not permission.

How We Operate

• Project choice. Engineers vote on which engagements we take.
• Stack agnostic. We pick tools that fit the job, not the résumé.
• Pragmatic craftsmanship. Durable design, no gold-plating.
• Transparent economics. Know what your work is worth, share in the profits.
• Remote-native. Async by default; sync when it helps.

Hiring Process (Lean & Human)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

Role Overview

We are looking for a versatile 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.

This role is unique as it requires a strong command of both Python (for our modern microservices and data processing) and PHP (for our core application logic).

Key Responsibilities

• Feature Development: Build and maintain scalable backend services using Python (Django/FastAPI) and PHP (Laravel/Symfony).
• Integration: Develop and consume RESTful APIs to connect various internal and external services.
• Database Management: Optimize database queries and schema designs (PostgreSQL/MySQL).
• Code Quality: Write clean, maintainable, and efficient code while performing regular code reviews.

Required Skills & Qualifications

• Experience: 3–7 years of professional backend development experience.
• Python Stack: Deep understanding of Python and frameworks like Django, Flask, or FastAPI.
• PHP Stack: Strong proficiency in PHP and modern frameworks like Laravel.
• Databases: Experience with relational databases (MySQL, PostgreSQL) and NoSQL (Redis, MongoDB).

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.

Role : AWS Data Engineer

Location : Anywhere in India - where cognizant office is available 

Contract duration : 12 months contract

Total Experience : 8-10 years

Budget-15LPA

Relevant Experience : 5+years with required skills & data engineering

Client : Cognizant

Job description : 

Python

Spark

Gradle 

AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)

Kubernetes

Argo

Kafka / Kinesis streaming

SQL

ETL Data Pipelines

Data Modelling

Power BI/ Any reporting tools

New Relic / Terraform

Operational support - Batch monitoring, root cause analysis and fix

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

Role: Full-stack Developer – Python & React JS

• Experience: 3–6 Years

• Contract Duration: 6 Months+ (Extendable)

• Work Mode: Onsite (Mumbai Powai) 

• Joining Timeline: Within 1–2 Weeks

Educational Qualification

Bachelor’s degree in Engineering, Computer Science, Information Technology

Please find the Job Description below:

Key Responsibilities:

• Develop scalable and high-performing web applications using Python, FastAPI, and React JS
• Create clean, responsive, and reusable frontend components for modern user experiences
• Build data visualization modules, analytical dashboards, and reporting interfaces
• Design and integrate REST APIs to support seamless system communication
• Work closely with cross-functional teams to understand functional and technical requirements
• Enhance existing applications by implementing new features and improving system efficiency
• Identify technical issues, troubleshoot application problems, and ensure timely resolution
• Optimize backend processes, database queries, and application performance
• Participate in code reviews, testing activities, deployment processes, and production support
• Maintain technical documentation and contribute to internal knowledge sharing

Required Skills & Experience:

• 3 to 6 years of experience in Full-stack Application Development
• Strong hands-on expertise in Python and FastAPI
• Good experience in frontend development using React JS
• Experience working with dashboards, charts, or visualization libraries such as ECharts
• Understanding of RESTful APIs, web services, and integration workflows
• Good knowledge of SQL and relational database management systems
• Familiarity with Git, version control practices, and development lifecycle processes
• Strong analytical, debugging, and problem-solving abilities
• Good communication and collaboration skills for working in team environments

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.

This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale backend systems powering the memory infrastructure of the product
• Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
• Design, manage, and optimize database, storage, and retrieval systems for persistent memory
• Collaborate closely on system architecture, scalability, performance, and reliability engineering
• Contribute directly to product roadmap decisions based on real customer usage and production insights

Requirements

Must-Have

• 7–10 years of backend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong Python fundamentals
• Strong PostgreSQL or comparable relational database fundamentals
• Comfort owning systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure or developer tools product experience
• FastAPI fluency
• Open-source contributions in AI, memory, vector databases, or developer tools
• Prior experience in memory systems, RAG pipelines, or vector database engineering
• Public technical writing or conference talks on AI-native engineering practices

Role Objective

As a Team Lead – AI/LLM Engineering, you will lead the development of scalable AI-powered applications and backend systems while managing a team of engineers. The role requires a strong balance of technical leadership and hands-on contribution in building production-grade solutions using Python, Django, RAG architectures, Vector Databases, and modern LLM frameworks. You will drive project execution, mentor team members, and ensure high-quality delivery of AI solutions.

Roles & Responsibilities

• Lead and manage a team of 6–10 engineers for AI/LLM-based projects.
• Drive end-to-end project delivery with focus on quality, scalability, and operational efficiency.
• Design and develop scalable backend systems using Python and Django.
• Build and optimize AI workflows involving RAG systems, Vector Databases, embeddings, and LLM orchestration.
• Work with technologies such as LangGraph and Model Context Protocol (MCP).
• Participate in architecture discussions, system design, and technical decision-making.
• Conduct code reviews and maintain engineering best practices.
• Mentor junior developers and support team growth.
• Collaborate with cross-functional teams for smooth project execution.
• Identify and remove technical blockers to improve team productivity.
• Contribute hands-on to development, debugging, and deployment activities.

Requirements

• Minimum 3 years experience as a developer.
• Minimum 7–8 months of experience with building AI systems.
• Strong hands-on experience in Python and Django development.
• Experience with Vector Databases and embedding-based retrieval systems.
• Good understanding of Data Structures & Algorithms.
• Strong knowledge of System Design and scalable application architecture.
• Experience working with AI/LLM integrations and RAG systems.
• Prior team leadership or mentoring experience.
• Good communication, analytical thinking, and problem-solving abilities.
• Ability to work in a fast-paced, collaborative environment.

Behavioural Skills

• Strong leadership and team management abilities.
• Excellent communication and interpersonal skills.
• Problem-solving mindset with strong analytical thinking.
• Ability to take ownership and drive projects independently.
• Adaptability to evolving technologies and project requirements.
• Good collaboration and stakeholder management skills.
• Strong decision-making and mentoring capabilities.

Technical Skills

• Python
• Django Framework
• Data Structures & Algorithms
• System Design
• Vector Databases
• Embeddings & Semantic Search
• RAG (Retrieval-Augmented Generation) Systems
• LangGraph
• Model Context Protocol (MCP)
• LLM Integration & Orchestration
• REST APIs
• Git & Version Control
• DevOps / Cloud Infrastructure (Preferred)
• Database Management Systems (SQL/NoSQL)

Data Engineer — Recommendation Engine

About the Company

~~ is India's first Gaming Commerce company, pioneering a new way for 500M+ gamers—an audience growing at 19.6% YoY—to shop inside games.

It is a white-label SaaS plugin that integrates into casual and hyper-casual games, transforming in-game coins into real-world value. Players can redeem them for brand coupons, digital services, or even physical products inside fully customizable in-game stores.

For gaming studios, ~~ directly solves the industry's toughest challenge—low retention—while also boosting monetisation. For brands, it unlocks a massive high-attention audience that already spends billions on in-game experiences, enabling targeted engagement with measurable ROI. Unlike traditional ads, PlaySuper embeds commerce into gameplay itself, improving recall, conversion, and loyalty.

The Role

We're building a recommendation engine that surfaces the right products to the right player at the right moment inside our in-game store. A core challenge: we have limited in-app behavioural data today, so the system must rely heavily on external market signals to make great recommendations from day one.

As our first Data Engineer, you will own the data infrastructure that makes this possible. You'll build the pipelines that collect, process, and serve these signals into our real-time ranking system.

This is a foundational hire. The entire recommendation engine—from Deal Quality Scores to seasonal trends—depends on the pipelines you build.

What You'll Do

• Own external data pipelines—scrapers for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking, Google Trends API for brand and category demand signals
• Build the Deal Quality Score pipeline—a daily batch job that computes a competitiveness score for every product in our catalogue, stored in Redis for sub-millisecond lookup at serving time
• Maintain a seasonal and festive calendar—structured data store for trend overlays (IPL, Diwali, back-to-school, etc.)
• Design and own the in-store event schema in ClickHouse that will power behavioural cohorts as in-app data accumulates
• Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data
• Own data quality and freshness SLAs—you are responsible when a signal the reco engine depends on breaks silently

What We're Looking For

• 3–5 years of data engineering experience, ideally at a startup or product company
• Strong Python—you write clean, production-grade pipeline code, not just notebooks
• Experience building and maintaining web scrapers or data collection pipelines at scale
• Hands-on experience with a workflow orchestrator—Airflow, Prefect, or equivalent
• Solid SQL; experience with ClickHouse or another OLAP database is a strong plus
• Familiarity with Redis as a serving layer—you understand TTL, key design, and cache invalidation
• Comfortable with AWS—S3, Glue, ECS; you can set up infra without needing DevOps help
• You care about data quality—you monitor pipelines, set up alerts, and feel responsible when something breaks

Strong Plus (Nice to Have)

• Experience with e-commerce or marketplace data—price intelligence, product catalogues, category taxonomy
• Familiarity with recommender system data patterns
• Experience with Spark or distributed processing for larger datasets
• Prior work on gaming or consumer mobile products

Location: Gurgaon

Compensation: Competitive salary with an opportunity to get meaningful equity

Reports to: CTO

Why PlaySuper?

• Your pipelines feed the system that directly drives real GMV for our studio partners
• Small team, fast decisions, no bureaucracy
• Work directly with the CTO on architecture and direction
• Direct impact visible within weeks of shipping

This is a 100% remote opportunity.

Roles & responsibilities

• The candidate should have a Bachelor’s degree in Computer Science or a related field 
• Administration, Installations, Migrations, Patching, Backup and Recovery to provide 24x7 Production Support.
• Monitoring and analyzing Logs.
• Good understanding of Indexes, Statistics and Postgres
• Experience working in "Performance Tuning"
• Creation and maintenance of Databases, creating Roles and managing user permissions, resolving deadlocks.
• Worked on Database Maintenance, Backups and Recovery Plans.
• Database Monitoring, Performance Tuning, Query Optimization, Backup/Recovery, Security Management.
• Worked on Replication and Log Shipping related issues.
• Worked with Crontab 
• Administering databases in development, test, QA and production environment.
• Automation using PowerShell scripts, BASH, Python
• Implementing best practices for access controls
• Ability to document technical as well as management process flows
• Ability to work effectively with business areas, IT Support teams and peers
• Strong verbal and written communication skills
• Not required, but nice to have: experience working in Azure, AWS or Snowflake

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

We’re Hiring: Forward Deploy Engineer – AI Solutions

Location: Hyderabad / NCR

Experience: 5–8 Years

Wits Innovation Lab is looking for a Forward Deploy Engineer – AI Solutions to design, deploy, and scale AI-powered enterprise solutions. The role involves working closely with clients, building AI-driven systems, integrating LLM-based solutions, and delivering scalable implementations across business workflows.

Key Responsibilities:

• Design and deploy AI-driven enterprise solutions

• Build scalable AI systems and multi-agent workflows

• Work on LLMs, RAG, embeddings, vector databases, and AI integrations

• Develop APIs, connectors, and secure data pipelines

• Collaborate with clients to prototype and productionize solutions

• Lead pilot projects and full-scale AI implementations

• Provide technical guidance, troubleshooting, and enablement support

Required Skills:

• Strong experience in Python or Java

• Good understanding of AI/ML concepts, LLMs, RAG, and vector databases

• Experience with AWS, Azure, or GCP

• Hands-on experience with API integrations and enterprise systems

• Knowledge of SDLC, Agile methodologies, and scalable system design

Good to Have:

• Experience with Agentic AI or multi-agent systems

• Docker and Kubernetes exposure

• Data analytics and visualization experience

• Consulting or customer-facing experience

Job Title: Agentic AI Intern (Full-Stack)

Location: Borivali, Mumbai (Onsite)

Position Type: Summer Internship

Job Overview

We are seeking a highly motivated and technically proficient Agentic AI Intern with a strong foundation in full-stack development. In this role, you will work at the intersection of modern web development and cutting-edge Artificial Intelligence, designing autonomous AI agents and integrating AI capabilities into robust applications. The ideal candidate is adaptable, language-agnostic, and eager to leverage modern AI tools to accelerate development velocity.

Key Responsibilities

• AI Agent Development: Assist in designing, building, and deploying autonomous AI agents and workflows.
• Full-Stack Development: Support backend architecture design and frontend interface development across various modern stacks.
• API & Tool Integration: Connect external LLM APIs and manage database configurations.
• Workflow Automation: Actively integrate modern AI-assisted development tools (such as Cursor, Windsurf, or GitHub Copilot) into your daily coding workflow.
• Technical Collaboration: Collaborate with the technical team to build prototypes and maintain clean, documented code.

Technical Requirements

• Backend Ecosystems: Solid foundational knowledge in backend development, with a primary preference for Python or Node.js.
• Frontend Frameworks: Competency in building modern user interfaces (experience with React, Next.js, or similar frontend technologies).
• Adaptability & Emerging Tech: High adaptability and a strong willingness or curiosity to work with high-performance ecosystems like Go, Rust, or other modern stacks as project demands evolve.
• AI Tooling & APIs: Familiarity with utilizing AI APIs and developing within modern AI-first IDEs.

Eligibility & Location Criteria

• Education: Open to current final-year students (looking for a Summer Internship) and recent graduates in CS, IT, or related engineering disciplines.
• Geographic Requirement: Candidates must reside along the Western Line within a 25km radius of Borivali to ensure a sustainable daily onsite commute.
• Competencies: A strong problem-solving mindset, a self-driven approach to learning new technologies quickly, and clear technical communication skills.

About the job

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you.

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences.
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures.

Technical Skills / Competencies

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.)
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP.
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.
• Team management: Experience in guiding teams to deliver high-impact solutions.
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us?

• An excellent workplace culture
• Competitive salary
• Company performance-related bonus
• Medical insurance
• Flexible working hours
• Educational assistance
• In-house soft skills training

Who We Are We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it. We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

We are looking for a Junior Full Stack Developer to join our growing engineering team and contribute to building high-quality software solutions. In this role, you will support the entire development lifecycle—from design to deployment—while working closely with product managers and senior engineers.

If you have a passion for technology, enjoy learning new tools, and thrive in a collaborative environment, we’d love to hear from you.

Current Technology Stack

• Backend: FastAPI (active), PHP (legacy), Java (legacy)
• Frontend: Svelte, TypeScript, JavaScript

Key Responsibilities

• Collaborate with development teams and product managers to ideate and deliver software solutions
• Assist in designing client-side and server-side architecture
• Contribute to building intuitive and visually appealing user interfaces
• Support database design and application development
• Help develop and maintain APIs
• Participate in testing to ensure performance, scalability, and responsiveness
• Assist in troubleshooting, debugging, and enhancing existing systems
• Support security and data-protection initiatives
• Contribute to mobile-responsive feature development
• Help maintain technical documentation

Candidate Requirements

Education

• B.Tech / BE in Computer Science, Statistics, or a related field

Location

• Bangalore

Role-Based Skills

• Exposure to web application development
• Familiarity with common technology stacks
• Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, XML, and jQuery
• Working understanding of back-end languages such as Java, Python, or PHP
• Familiarity with JavaScript frameworks/libraries like Angular, React, Svelte, or Node.js
• Awareness of databases such as PostgreSQL, MySQL, or MongoDB
• Basic understanding of web servers (e.g., Apache) and UI/UX principles

Behavioral Skills

• Strong communication and teamwork abilities
• High attention to detail
• Good organizational skills
• Analytical and problem-solving mindset

Key Responsibilities 

• Design, develop, and optimize ETL/ELT pipelines for handling massive datasets using Python, Java & Spark for batch and real-time streaming. 
• Build and maintain data architectures including data lakes, warehouses (e.g., Snowflake, DB2). 
• Implement data modeling (star/snowflake schemas), ensure data quality, lineage tracking, and reliability engineering practices. 
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions while optimizing for cost and performance. 
• Deploy and monitor pipelines on cloud platforms (AWS/GCP/Azure) with CI/CD. 

Required Qualifications 

• Bachelor’s/Master’s in Computer Science, IT, or related field. 
• 3-5 years in data engineering, with strong emphasis on data-intensive environments. 
• Proficiency in Python, Java (core for data apps), SQL/NoSQL, PySpark/Spark, Kafka for streaming. 
• Experience with big data tools, cloud data services, and ETL frameworks (Airflow, dbt) 

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Example Responsibilities:

• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Develop monitoring and observability solutions for ML systems
• Collaborate with ML Engineers to establish best practices for optimized model deployment
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

• 5+ years of experience in software engineering with Python
• Experience with ML frameworks, particularly PyTorch
• Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia,Trainium)
• Proven experience building and operating AWS serverless architectures
• Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions
• Experience with containerization using Docker and orchestration tools
• Strong knowledge of RESTful API design and implementation
• Proficiency in writing good quality & secure code and be familiar with static code analysis tools
• Excellent analytical, conceptual and communication skills in spoken and written English
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Great to have Experience and Qualifications:

• Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
• Experience working in regulated industries with strict compliance requirements for cloud-native solutions

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 have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Visit us at trendlyne.com, or look for the trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

Tech Stack

• Python (Django)
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities : 

• Develop and maintain scalable, robust backend systems using Python and Django framework. 
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs. 
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour. 
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently. 
• Embrace design and code reviews to deliver quality code. 
• Play a key role in taking Trendlyne to the next level as a world-class engineering team 
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews. 
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning. 
• Proficient understanding of the performance of web and mobile applications.
• Mentor junior developers and foster skill development within the team.

Job Requirements : 

• 4+ years of experience with Python and Django.
• Good knowledge of APIs, databases, and system performance
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• Ownership mindset: you build, ship, and improve
• (Optional): Experience with web front-end technologies such as JavaScript, HTML, and CSS 

Reports to the- CTO

Location- Bangalore, HSR

CTC & Benefits Offered: Best in the Industry

About AppsForBharat

AppsForBharat (Sri Mandir App) is building beautifully crafted, AI-first consumer experiences that help millions of Indians connect with spirituality and culture. We’re backed by Peak XV Partners, Elevation, Fundamentum, and other top-tier investors, and are one of India’s fastest-growing Series C consumer-tech companies.

Our flagship product, Sri Mandir, is the world’s largest platform for Hindu devotees, powering rituals, teachings, personalized recommendations, and a thriving devotional community. India’s $44B devotion economy is still largely offline, and we’re bringing structure, accessibility, and meaning to this massive market, where design and data play a central role in shaping user behaviour at scale.

About the Role

We are seeking a seasoned Backend Engineering Manager with deep expertise in Golang to lead our backend team. The ideal candidate has 7+ years of experience in backend technologies and 3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

• Oversee design and development of backend systems operating at 10K+ RPM scale.
• Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).
• Partner with product managers to scope, prioritize, and release B2C product features and applications.
• Ensure architectural best practices, high-quality code standards, and robust testing practices.
• Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.
• Has worked on B2C setup with at least 150K DAU and served transactions to this userbase.

Operational Excellence

• Champion observability, monitoring, and reliability across backend services.
• Continuously improve system performance, scalability, and resilience.
• Streamline development workflows and engineering processes for speed and quality.

Requirements

Experience:

• 7+ years of professional experience in backend technologies.
• 2-3 years as Tech lead and driving delivery.

Technical Skills:

• Strong hands-on expertise in Golang OR Python.
• Proven track record with high-scale systems (≥10K RPM).
• Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

Leadership Skills:

• Demonstrated success in managing teams through 2–3 appraisal cycles.
• Strong experience working with product managers to deliver consumer-facing applications.
• Excellent communication and stakeholder management abilities.

Nice-to-Have

• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry).
• Previous leadership experience in B2C product companies operating at scale.

What We Offer

• Opportunity to lead and shape a backend engineering team building at scale.
• A culture of ownership, innovation, and continuous learning.
• Competitive compensation, benefits, and career growth opportunities.

Fill out this form for a quick turnaround: https://forms.gle/Mc2Y36AGjSRmD7rb6

Qualifications:

• 3+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python or Golang
• Strong understanding of database systems, relational (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and columnar (SingleStore, Redshift, BigQuery, Snowflake)
• Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
• Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing scalable, high-performance systems.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades. Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time. We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. Role Overview We are looking for a highly motivated SDET 2 who is strong in development, analytical thinking, and passionate about quality with 3 – 6 years of experience This is an individual contributor role with end-to-end ownership of quality through automation, tooling, and effective testing practices, with a growth path towards an SDET Lead role.

Key Responsibilities:

● Own end-to-end quality for assigned features/modules

● Design, build, and maintain automation frameworks and regression suites

● Take full ownership of regression via automation and ensure stability ● Perform PR reviews with focus on quality, edge cases, and test coverage

● Execute and contribute to manual testing where required

● Identify gaps and build tools/solutions to improve quality and efficiency

● Perform root cause analysis (RCA) and drive preventive actions

● Collaborate with Dev, Product, and QA teams for better quality outcomes

Core Requirements:

Development & Technical

● Strong programming skills (Java / TypeScript / Python or any programing language)

● Ability to quickly learn and work on new technologies/stacks

● Hands-on experience in test automation (UI/API)

● Basic to intermediate experience with AWS (cloud services, debugging, logs)

● Claude code understanding is Good to Have. we will teach Ai perspective Testing & Analytical Skills

● Strong manual testing expertise

● Excellent analytical and problem-solving skills

● Ability to design effective test scenarios, edge cases, and validations ● Experience in owning regression suites via automation Quality Mindset

● Strong ownership of quality via automation and tooling

● Passionate and quality enthusiastic mindset

● Focus on automation-first and continuous improvement Nice to Have: ● Experience with CI/CD pipelines

● Exposure to microservices architecture

● Experience in performance or mobile testing

Here are answers to some questions you may have

Where is your office? Chennai (Velachery)

Work Model Work from Office – because great stories are built in person!

Do you have an online presence? https://amura.ai (we are @AmuraHealth on all social media)

For better insights: https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing 

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions — cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence. This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome — not a checkpoint.

You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test — this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite — Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform — from sprint planning through production
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD)
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence — not just mitigation
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes

Requirements — Must Have

• 5–8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more'.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets and WebSockets is a must have.​
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium — with demonstrated ability to build or significantly scale a framework from the ground up
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code
• Strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI
• Demonstrable track record of reducing defect escape rates or improving automation coverage — with numbers to back it
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context

Requirements — Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP, IVR, VoIP, or WebRTC
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues
• Familiarity with contract testing (Pact) or AI/ML-specific testing — chatbots, voicebots, NLP output validation
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing

This profile is not for

• Someone whose primary mode is reviewing test cases and delegating execution rather than building and owning the automation stack themselves
• Someone who treats QA sign-off as the finish line — this role is accountable for customer experience, not just green test runs
• Someone who waits for complete requirements before starting and escalates ambiguity upward instead of driving clarity

Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This

role focuses on building and deploying advanced predictive models to influence key business decisions. The

ideal candidate should have strong experience in machine learning, data engineering, and working in cloud

environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML

models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is

a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.

• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and

deployment.

• Perform model validation, tuning, and performance monitoring.

• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

• Design scalable and secure ETL pipelines using AWS Glue.

• Manage and optimize data infrastructure in the AWS environment.

• Ensure high data integrity and availability across the pipeline.

• Integrate AWS services to support the end-to-end machine learning lifecycle.

Python Programming

• Write efficient, reusable Python code for data processing and model development.

• Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.

• Maintain documentation and ensure best coding practices.

Collaboration & Communication

• Work with engineering, analytics, and business teams to understand and solve business challenges.

• Present complex models and insights to both technical and non-technical stakeholders.

• Participate in sprint planning, stand-ups, and reviews in an Agile setup.

Preferred Experience (Nice to Have):

• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).

• Exposure to Generative AI technologies.

• Familiarity with geospatial data and GIS tools for predictive analytics.

Qualifications:

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

• 5+ years of relevant experience in data science, predictive modeling, and machine learning.

• Experience working in cloud-based data science environments (AWS preferred).

About us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses in India with their credit needs. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech and data enthusiasts play a crucial role in building the infrastructure at Optimo, and help the company thrive.

What we offer:

Join our dynamic startup team as a Backend Developer and play a crucial role in building robust web APIs, credit risk and underwriting decision engines, third-party tech integrations, data pipelines, and cloud infrastructure.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in system architecture and technical design bring out the best in you — and help us build the best for the company.

What We Look For:

We're looking for individuals with strong proficiency in Python, Django, and RESTful API development. Experience with Flask, FastAPI, or AWS is a strong plus. Beyond skills, we value your attitude - your hunger to learn, take ownership, and thrive both independently and as part of a team.

We encourage picking up new technologies fast, understanding them deeply, and shipping them into production with confidence.

Skills:

>Core Backend

• Python: Strong proficiency in writing clean, production-level Python code.
• Django & Django REST Framework: Working knowledge in building and maintaining server-side applications.
• Flask / FastAPI: Experience building lightweight RESTful APIs is highly valued
• REST APIs: Strong understanding of API design principles; prior experience building or integrating REST APIs from scratch is essential.

>Databases

• Solid understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB)
• Basic knowledge of query design, database management, and performance optimization.

>Cloud & DevOps

• Basic understanding of AWS (EC2, S3, Lambda, or similar services) is beneficial.
• Familiarity with CI/CD pipelines, server deployments, and cloud infrastructure management is a plus.

>Data

• Understanding of data pipelines and ETL processes is a plus.
• Exposure to dashboarding or data layer tools is appreciated but not required.

>Version Control

• Proficiency in Git — branching, merging, pull requests, and conflict resolution.
• Experience contributing to collaborative codebases is highly valued.

What You'll Work On:

• Design and build backend systems for end-to-end lending workflows — from customer onboarding to loan disbursement — with a focus on credit and risk assessment.
• Develop and maintain REST APIs and rule engines that power straight-through processing for property loans.
• Integrate third-party APIs and services into our core platform.
• Support cloud infrastructure management, including source code repositories, CI/CD pipelines, and deployments.
• Take projects from ideation to production with ownership and accountability.

Other Requirements:

• 2–5 years of industry experience in a backend or software engineering role is required.
• Full-time availability in Bangalore; immediate joiners preferred.
• Strong passion for technology and backend problem-solving.
• Self-motivated, with the ability to work independently and collaboratively in a fast-moving environment.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

An excellent Python developer should have a higher understanding of the Python languages. They should be capable to accomplish a number of tasks using Python.Coordinating with development teams to find out the needs of the application.

• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Evaluating and ranking customer feature requests.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

Skills Required ::

• Python Development
• C# Development
• .NET Framework / .NET Core
• REST API Development
• JSON Handling
• API Integrations
• Databases
• Query Optimization
• Git Version Control
• Azure DevOps
• Debugging & Troubleshooting
• Cloud Application Development

Company Overview:

Euphoric Thought Technologies is a dynamic and innovative technology company specializing in providing cutting-edge automation solutions for businesses across various sectors. We empower organizations to streamline their processes, enhance efficiency, and achieve significant cost savings through intelligent automation strategies. Our expertise spans across diverse platforms, enabling us to deliver tailored solutions that meet the unique needs of our clients.

Role Overview:

As a Python Automation Developer at Euphoric Thought Technologies, you will be instrumental in designing, developing, and implementing robust automation frameworks and scripts to ensure the quality and reliability of our software solutions. You will collaborate closely with development, QA, and DevOps teams to identify automation opportunities, build efficient test suites, and contribute to continuous integration and continuous delivery (CI/CD) pipelines. Your work will directly impact the speed and quality of our software releases, enabling us to deliver exceptional value to our customers.

Key Responsibilities:

- Design and develop automation frameworks using Python to validate .Net and C# based applications.

- Create and maintain automated test scripts for REST APIs, focusing on JSON data validation.

- Integrate automated tests into CI/CD pipelines using Azure DevOps to ensure continuous testing.

- Collaborate with developers and QA engineers to identify and resolve defects, improving overall software quality.

- Analyze test results and generate comprehensive reports to communicate testing progress and identify areas for improvement.

- Contribute to the development of automation best practices and standards to enhance team efficiency.

- Maintain and enhance existing automation frameworks to adapt to evolving project requirements.

- Participate in code reviews to ensure code quality and adherence to coding standards.

Required Skillset:

- Demonstrated proficiency in Python programming for automation, including experience with relevant libraries and frameworks.

- Solid understanding of software testing principles and methodologies, with experience in developing and executing automated test cases.

- Experience with REST API testing and JSON data validation.

- Familiarity with .Net and C# development environments.

- Experience with Azure DevOps for CI/CD and test automation.

- Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's degree in Computer Science or a related field.

We are looking for an experienced Data Engineer with 4+ years of expertise in Python development, ETL processes, and Power BI reporting. The ideal candidate will be responsible for designing scalable data pipelines, optimizing data workflows, and delivering business intelligence solutions for data-driven decision-making.

Key Responsibilities

• Design, develop, and maintain robust ETL/data integration pipelines.
• Develop scalable data processing solutions using Python.
• Create and optimize complex SQL queries, stored procedures, and database solutions.
• Build interactive dashboards, reports, and data visualizations using Power BI.
• Integrate data from multiple sources including APIs, databases, and cloud platforms.
• Perform data cleansing, transformation, and validation to ensure data accuracy.
• Work closely with business and technical teams to gather reporting and analytics requirements.
• Monitor, troubleshoot, and improve data pipeline performance.
• Support data warehousing, reporting, and analytics initiatives.
• Mentor junior team members and contribute to best practices in data engineering.

Required Skills

• 4+ years of experience in Data Engineering or related roles.
• Strong hands-on experience in Python scripting and automation.
• Good experience with ETL processes and data pipeline development.
• Strong SQL skills with experience in relational databases.
• Hands-on experience in Power BI dashboard and report creation.
• Knowledge of data modeling and data warehousing concepts.
• Experience with APIs and data integration techniques.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Job Title: Senior MIS Executive

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data

management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing

automated systems, strengthening data structures, and supporting cross-functional teams with

accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and

departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and

operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated,

data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines

using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including

requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and

evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection

standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated,

processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

improvement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API

integrations, workflow optimization

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset