50+ Python Jobs in India

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Key Responsibilities

1. Full Stack Development • Design, develop, and maintain scalable web applications using Python and Django. • Build and maintain REST APIs using Django REST Framework. • Work on backend architecture, business logic, database schema, and API integrations. • Integrate frontend applications with backend APIs and ensure smooth end-to-end functionality. • Write clean, reusable, testable, and maintainable code. • Optimize application performance, database queries, API response time, and server-side logic. • Debug and resolve production and staging issues in a structured manner. • Review code written by team members and enforce coding standards. • Prepare and maintain technical documentation, API documentation, and deployment notes. • Participate in architecture decisions and suggest scalable technical solutions. Senior Full Stack Django Developer cum Project Manager JD | Hinjawadi, Pune

2. Project Management and Delivery • Understand client and internal product requirements and convert them into actionable technical tasks. • Prepare project plans, sprint plans, milestones, and delivery timelines. • Assign tasks to developers, QA, UI/UX, and support team members based on priorities. • Track daily progress, remove blockers, and ensure timely completion of planned work. • Conduct daily stand-ups, sprint reviews, release planning, and internal status meetings. • Coordinate between product, development, QA, implementation, support, and management teams. • Identify delivery risks early and take corrective action before timelines are impacted. • Ensure proper UAT support, bug tracking, release notes, and production deployment coordination. • Maintain task boards and project documentation using Jira, ClickUp, Trello, Asana, or similar tools.

3. Team Leadership • Lead and manage a team of approximately 8 members, including developers, testers, and other technical contributors. • Mentor junior and mid-level developers on technical implementation and best practices. • Ensure task ownership, accountability, and disciplined execution within the team. • Conduct code reviews and guide the team on better architecture, security, and performance practices. • Help team members resolve technical blockers and improve delivery quality. • Support onboarding and training of new developers when required. • Build a positive, structured, and performance-driven engineering culture.

4. Client Communication and Product Demos • Handle client calls, requirement discussions, project update meetings, and product walkthroughs. • Conduct confident and professional client demos for developed modules and product features. • Explain technical and product workflows to clients in simple business language. • Collect client feedback and convert it into clear development tasks. • Coordinate with clients during UAT, go-live, training, and post-deployment support. • Communicate timelines, dependencies, risks, and progress updates clearly. • Build trust with clients by ensuring structured communication and timely delivery.

Role Overview

We are looking for a skilled Software Engineer with strong Python backend development expertise and hands-on experience in Google Cloud Platform (GCP). The role involves building scalable, cloud-native applications, APIs, and automation solutions while following modern SDLC and DevOps best practices.

Key Responsibilities

• Develop and maintain backend services using Python, including APIs, automation, and data processing.
• Design and implement cloud-native solutions on GCP, leveraging services such as Cloud Run, Cloud Functions, Firestore, Compute Engine, and App Engine.
• Contribute to system design and architecture discussions, focusing on scalability and microservices.
• Follow SDLC best practices, writing clean, modular, and testable code using OOP principles and design patterns.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Support CI/CD pipelines, version control, and automated testing as part of DevOps practices.
• Willing to work in shifts.

Required Skills & Qualifications

Certifications

• Google Cloud Associate or Professional Certification preferred.
• Other relevant cloud or software certifications are a plus.

Python

• Strong proficiency in backend development, API creation, automation, and data manipulation.

GCP

• Practical experience with GCP services, especially serverless or compute-based offerings.

System Design

• Good understanding of scalable architectures and microservices concepts.

SDLC & OOP

• Solid grasp of object-oriented programming, design patterns, and clean code practices.

DevOps

• Working knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code (IaC).

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Position: Team Lead – Data Engineering

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

Job Title:  Sr. AI Ops Engineer

Experience: 8+ Years

Location: Remote

We’re looking for a hands-on Lead AI Ops Engineer to drive AI-powered automation across enterprise infrastructure. This role involves working closely with senior stakeholders to identify opportunities and implement Agentic / AIOps solutions at scale.

 What You’ll Do

• Identify automation opportunities across Cloud & Enterprise Infrastructure
• Design & build AI/Agentic solutions aligned with AIOps frameworks
• Collaborate with Principal Engineers / Directors on high-impact initiatives
• Own end-to-end delivery: Problem → Solution → Deployment

 Tech Stack

• Must: Python
• Good to have: JavaScript, Java, Scala, R
• AI/ML: Databricks, MLflow
• Frameworks: LangChain, LangGraph, LLaMA, Cohere, DBRX
• Cloud: AWS, Azure, GCP
• Others (Plus): Google ADK, MCP, A2A, Argo

 Ideal Profile

• Strong engineering maturity & ownership
• Experience in AI-driven automation / AIOps
• Ability to work directly with senior technical stakeholders

 Why Apply?

Work on cutting-edge AI Ops & Agentic automation in a large-scale enterprise environment with high visibility.

Responsibilities

• Develop and execute test plans, cases, and scripts for web and mobile.
• Conduct manual and automated testing to identify bugs and performance issues.
• Collaborate with developers, product managers, and designers to resolve issues.
• Track and document defects using tools like JIRA or Trello.
• Perform regression and performance testing to ensure product quality.

Required Skills

• 0-2 years of QA or software testing experience.
• Proficiency with tools like Selenium, Postman, JIRA, and TestRail.
• Familiarity with scripting (e.g., Python, JavaScript) for automation.
• Knowledge of Agile/Scrum methodologies.
• Basic understanding of version control systems (Git).
• Familiarity with CI/CD tools (Jenkins, CircleCI) and cloud platforms (AWS, Google Cloud)
• Worked on creating automation testing scripts.

Shift Timings: 12 PM – 9 PM IST

About Shopflo

At Shopflo, we're trying to change the way consumers experience brands and businesses. Our first product was a cart and checkout platform for e-commerce, that allowed marketers to personalise discounts, rewards, and payments. We are currently also working on a new product that takes it a notch higher by unlocking enterprise-grade personalization for all consumer tech businesses.

Team & Company

Shopflo was founded by three co-founders:

• Ankit Bansal (ex-IIT Kharagpur, Oracle, Gupshup)
• Ishan Rakshit (ex-IIT Bombay, Parthenon, Elevation Capital)
• Priy Ranjan (ex-IIT Madras, McKinsey, Elevation Capital)

We’re a fast-growing team of ~50 people, based in HSR Layout, Bengaluru. We raised a $3.8M seed round from Tiger Global, TQ Ventures.

 What you will do

• Design and develop microservice that can work in a large-scale multi-tenant environment.
• Explore design implications and work towards an appropriate balance between functionality, performance, and maintainability.
• Working with a cross-discipline team of Design, Product, Data Science and Analytics team.
• Deploy and maintain the application in a secured AWS environment.
• Take ownership from the ideation phase to deployment and maintenance.
• Active participation in the hiring process to bring world-class programmers in the team.

You should apply if you have:

• 2-4 years of experience in server-side development
• Strong programming skills in Java, Python, Node or Golang
• Hands-on experience in API development and frameworks such as Spring, Node, or Django.
• Good Understanding of SQL and NoSQL databases.
• Experience in test-driven development. (writing unit test and API test).
• Understanding of basic cloud computing concepts and experience in using any of the major cloud service providers(AWS/GCP/Azure).
• Ability to build and deploy the application in a containerized environment.
• Understanding of application logging and monitoring systems like Prometheus or Kibana.
• B. E/B. Tech/M. E. /M. Tech/M. S. from a reputed university with a good academic record.
• Curiosity to explore cutting-edge technologies and bake them into the products.
• Zeal and drive to take end-to-end ownership.

Key Responsibilities

Provide technical support for KX products, ensuring system stability and optimal performance.

Diagnose and troubleshoot software, infrastructure, and performance-related issues.

Work closely with engineering teams to escalate and resolve complex product defects.

Assist customers with product deployments, configurations, and best practices.

Create and maintain technical documentation and knowledge base articles.

Lead root cause analysis (RCA) efforts.

Participate in an on-call rotation, including weekend work, to support critical incidents, system maintenance, or client needs outside regular business hours.

Required Skills & Experience

Experience in product or technical support for enterprise software.

Solid knowledge of Linux/Unix environments, system administration, and performance troubleshooting.

Experience with SQL and other database technologies.

Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Preferred Qualifications

Proficiency in kdb+/q.

Experience with real-time data processing, high-frequency trading, or IoT applications.

Familiarity with networking concepts.

Hands-on experience with automation and scripting (Python, Shell, etc.).

ITIL certification or experience working in an ITIL-based support environment.

About Us:

REConnect Energy’s GRIDConnect platform helps integrate and manage energy generation and consumption for 1000s of renewable energy assets and grid operators. We are currently serving customers across India, Bhutan and the Middle East with expansion planned in US and European markets.

We are headquartered in Central Bangalore with a team of 150+ and growing. You will join the Bangalore based Engineering team as a senior member and work at the intersection of Energy, Weather & Climate Sciences and AI. 

Responsibilities:

● Engineering - Take complete ownership of engineering stacks. Define and maintain software systems architecture for high availability 24x7 systems.

● Leadership - Lead a team of engineers and analysts managing engineering development as well as round the clock service delivery. Provide mentorship and technical guidance to team members and contribute towards their professional growth. Manage weekly and monthly reviews with team members and senior management.

● Product Development - Contribute towards new product development through engineering solutions to product requirements. Interact with cross-functional teams to bring forward a technology perspective.

● Operations - Manage delivery of critical services to power utilities with expectations of zero downtime. Take ownership for uninterrupted product uptime. 

Requirements:

● Bachelor's or Master’s degree in Computer Science, Software Engineering, Electrical Engineering or equivalent

● Proficient in python programming along with Frameworks like Django/Fast Api/Flask and Java frameworks like Spring, Hibernate, SpringBoot, etc

● Debug and resolve technical issues that arise during the development or after deployment at various stages.

● Experience in databases including MySQL and NoSQL

● Experience in designing, developing and maintaining high availability systems.

● Experience in MVC pattern, Tomcat, Git, and Jira.

● Experience working with AWS cloud platform.

● 4-5 years of experience building highly available systems

● 2-3 years experience leading a team of engineers and analysts

● Strong analytical and data driven approach to problem solving

Junior Full-Stack Engineer (Python + Flutter + React JS)

Location: Vasanthnagar, Bangalore 560001 · On-site Type: Full-time Experience: 2–4 years Reports to: Tech Lead

About the role

We're looking for a hands-on Junior Full-Stack Engineer to join us on-site and work across our entire stack - building backend services in Python, web frontends in React JS, and cross-platform apps in Flutter. You'll be involved in the full development lifecycle: designing features, writing clean code, testing your own work, and helping ship reliable software. This is a great fit for someone who has a couple of years under their belt, wants to grow quickly, and enjoys owning features end to end.

You won't be siloed into one layer. One day you might be writing an API endpoint and its tests; the next, building the React screen - or the Flutter app - that consumes it.

What you'll do

●      Build and maintain backend services and APIs in Python (e.g. FastAPI / Django / Flask).

●      Develop responsive web frontends in React JS (components, hooks, state management).

●      Develop cross-platform mobile features using Flutter (Dart).

●      Write automated tests - unit, component, widget, and integration - and treat testing as part of building, not an afterthought.

●      Integrate frontend and backend: design and consume REST APIs, handle data flow, manage state.

●      Work with databases (schema design, queries, migrations) - e.g. PostgreSQL / MySQL.

●      Participate in code reviews, give and receive constructive feedback.

●      Use Git and a modern branching workflow; contribute to CI/CD pipelines.

●      Collaborate in an agile setup — standups, sprint planning, and iterative delivery.

●      Debug, profile, and fix issues across the stack.

●      Document your work so the next person (including future-you) can understand it.

What we're looking for

●      2–4 years of professional software development experience.

●      Solid working knowledge of Python and at least one backend framework.

●      Hands-on experience with React JS and modern JavaScript/TypeScript.

●      Hands-on experience with Flutter / Dart and building real apps (personal or professional projects count).

●      Comfortable writing tests and familiar with frameworks like pytest, Jest / React Testing Library, and Flutter's test / flutter_test.

●      Understanding of REST APIs, JSON, and client–server communication.

●      Proficiency with Git and collaborative version control.

●      Familiarity with relational databases and basic SQL.

●      Good communication skills and a willingness to learn, ask questions, and take feedback.

●      Able to work on-site at our Vasanthnagar, Bangalore office.

Nice to have (not required)

●      Experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).

●      Exposure to cloud platforms (AWS / GCP / Azure) or Docker.

●      State management experience in React (Redux, Zustand, Context) and/or Flutter (Provider, Riverpod, Bloc).

●      Familiarity with async programming in Python.

●      A portfolio, GitHub profile, or published app you can share.

Why join us

●      Real ownership of features from day one, with mentorship to grow fast.

●      A modern engineering culture: code reviews, automated testing, CI/CD, and clean workflows.

●      Direct collaboration with the Tech Lead and a small senior team — short feedback loops, fast decisions.

 Please connect with me on my LinkedIn

https://www.linkedin.com/in/indrani-dutta-a9a65135/

Visionyle is Hiring for UK Based Company- Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure

· Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

· The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.

· With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Visionyle is Hiring Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

• Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

• Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure
• Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

• The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.
• With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

6+ years of professional software development experience

2+ years of hands-on experience focused on AI agent development

2+ years of practical experience with Azure AI Foundry or similar agent development platforms

Strong proficiency in Python or similar programming languages

Solid understanding of machine learning fundamentals and AI/ML concepts

Experience designing and implementing automated workflows and pipelines

Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)

Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.

Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.

Mandatory (Experience 3) – Must have hands-on experience architecting production generative AI applications — LLM integrations, vector databases, RAG systems, and evaluation pipelines

Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.

Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).

Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.

Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.

Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them

What This Role Requires

We are seeking an experienced Data + Business Intelligence Architect to lead client engagements in designing, developing, and implementing enterprise data architectures. This is a priority position requiring a seasoned professional who can work directly with clients to build robust data foundations, establish governance frameworks, and create scalable data solutions that drive business intelligence and analytics capabilities. The ideal candidate will excel in client-facing environments and deliver high-impact data solutions across diverse business contexts. Here is what you will do:

• Design and implement enterprise data architecture following Medallion architecture principles (Bronze, Silver, Gold layers)
• Build and optimize data pipelines to integrate data from multiple external sources into centralized data platforms
• Develop and maintain semantic layers that enable consistent business definitions and metrics across the organization
• Establish data foundations built on strong data governance principles, including data quality, security, and compliance frameworks
• Lead the implementation and management of data lakes and data fabric architectures
• Define and enforce data governance layers including metadata management, data lineage, and access controls
• Collaborate with business stakeholders to translate business requirements into scalable technical solutions
• Provide architectural guidance and mentorship to data engineering and analytics teams
• Drive best practices for data modeling, ETL/ELT processes, and BI reporting strategies

Key Skills to Succeed in This Role:

Non-Negotiable Technical Skills

• Medallion Architecture: Proven hands-on experience designing and implementing Medallion architectures (Bronze/Silver/Gold data layers)
• Data Pipeline Development: Extensive experience building scalable data pipelines from multiple external sources (APIs, databases, files, streaming sources)
• Semantic Layer Creation: Demonstrated ability to design and implement semantic layers that provide unified business metrics and definitions
• Data Foundation & Governance: Strong expertise in building data foundations with integrated data governance principles including data quality, lineage, security, and compliance
• Data Lakes & Data Fabric: Hands-on experience establishing and managing data lakes and/or data fabric architectures with governance layers

Additional Required Qualifications

• 10+ years of experience in data architecture, data engineering, and business intelligence roles
• Expert-level knowledge of modern data platforms and cloud technologies (Azure, AWS, GCP, Databricks, Snowflake, etc.)
• Strong understanding of data modeling techniques (dimensional modeling, data vault, etc.)
• Proficiency in SQL, Python, and modern data transformation frameworks (dbt, Apache Spark, etc.)
• Experience with BI and analytics tools (Power BI, Tableau, Looker, etc.)
• Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Proven track record of delivering enterprise-scale data solutions

Preferred Qualifications

• Industry Experience: Background in biopharma, pharmaceutical, or Contract Research Organization (CRO) environments is a significant advantage
• Experience with Informatica or other data cataloging tools
• Understanding of regulatory compliance requirements (FDA, EMA, GxP) for data management in life sciences
• Experience with clinical trial data, laboratory data, or regulatory submission data
• Familiarity with industry-specific data standards (CDISC, HL7, LOINC)
• Master's degree in Computer Science, Data Science, Information Systems, or related field
• Relevant certifications (cloud architecture, data engineering, or data governance certifications)

Senior AI/ML Engineer

📍 Pune, Maharashtra (Onsite)

💼 Experience: 6–10 Years

🕒 Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
• Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
• Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
• Design deep learning solutions including LSTM and transformer-based architectures
• Build semantic search and vector retrieval systems using modern vector databases
• Develop advanced AI workflows using LangChain and LangGraph
• Design and implement multi-agent AI systems and orchestration frameworks
• Lead AI model deployment, monitoring, optimization, and lifecycle management
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Mentor junior engineers and contribute to technical leadership initiatives
• Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

• 6–10 years of software engineering and AI/ML development experience
• Strong experience building and deploying production AI/ML systems
• Hands-on expertise with RAG architectures and semantic retrieval systems
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
• Strong knowledge of Machine Learning and Deep Learning concepts
• Hands-on experience with:
• PyTorch and/or TensorFlow
• XGBoost
• LangChain
• LangGraph
• Experience deploying AI applications in production environments
• Strong debugging, performance optimization, and troubleshooting skills
• Excellent Python programming skills
• Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

• MLflow
• Weights & Biases (W&B)
• Kubeflow
• Transformer architectures and LLM internals
• MLOps practices and model lifecycle management
• Multi-agent AI frameworks
• Cloud platforms such as AWS, Azure, or GCP
• Docker and Kubernetes
• CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

• Has successfully deployed AI solutions into production environments
• Understands enterprise-scale AI architecture and design patterns
• Has practical experience with retrieval systems and vector search
• Can independently drive AI initiatives from concept to deployment
• Enjoys solving complex engineering challenges
• Demonstrates strong ownership, leadership, and mentoring capabilities
• Thrives in a fast-paced product and engineering environment

Who Should Not Apply

• Prompt-engineering-only profiles
• Candidates with only academic or research exposure
• Tutorial/demo-level GenAI practitioners
• Engineers without production deployment experience
• Professionals lacking hands-on implementation expertise

Educational Qualification

• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
• Master's degree is a plus

Work Location

📍 Pune, Maharashtra (Onsite)

Hiring Preference

• Immediate joiners preferred
• Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

Job Description: Senior Python Developer (Document Automation)

Experience: 5+ Years

Location: Pune (Work from Office)

Employment Type: Contract (6 Months + Renewable)

Compensation: Market Standards / Open

Professional Summary

We are looking for a Senior Python Developer with 5+ years of experience for a contract-based role in Pune. The ideal candidate will have deep expertise in backend systems and specialized experience in document generation and manipulation using Python libraries.

Key Responsibilities

• Develop and maintain backend services using Python.
• Implement automated document generation workflows (DOCX, PDF, etc.).
• Design and optimize data extraction and document manipulation modules.
• Ensure high performance and responsiveness of backend applications.
• Collaborate with the team to define and implement API integrations.

Technical Requirements

• Minimum 5 years of professional experience in Python development.
• Hands-on experience with Python-docx for creating and updating .docx files.
• Proficiency in document processing libraries (e.g., PyPDF2, ReportLab, or Pandas for data export).
• Strong knowledge of Python web frameworks (Django, Flask, or FastAPI).
• Experience with XML and template-based document generation.
• Solid understanding of SQL/NoSQL databases.
• Experience with version control (Git) and CI/CD pipelines.

We're Hiring | AI/ML Engineer (Training & Development) – Female Candidate Preferred

We are looking for a passionate and skilled Female AI/ML Engineer who can conduct engaging training sessions while also contributing to AI/ML development projects. The ideal candidate should have strong technical expertise along with excellent communication and presentation skills.

Experience: 2–3 Years

Key Skills: Python, Machine Learning, Deep Learning, Generative AI, LLMs, NLP, Computer Vision, LangChain, RAG, Prompt Engineering, TensorFlow, PyTorch, Scikit-learn

Training Expertise: Ability to deliver training sessions on AI/ML, Data Science, Python, Generative AI, and emerging technologies using various AI tools and platforms.

Preferred: Candidates with experience in both training and development activities.

📍 Location: Jaipur (On-site)

💻 Laptop Provided by Company

📅 Working Days: Monday to Saturday

💰 Salary: ₹25,000 – ₹30,000 per month

Everything we do is for our customers!

Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to to power 5,000+ global brands while we head to 100,000+.

Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, Maropost is the place for you.

The Opportunity:

Thrive on change and grow beyond limits! We are looking for a bold thinker who sees a chance to learn and define what's possible with every challenge! Ready to make an impact? Welcome to Maropost and you can turn ideas into action!

We are seeking an experienced Senior Platform Engineer to join our growing team responsible for building, scaling, and maintaining the core infrastructure of our SaaS product on Google Cloud Platform (GCP). You will architect and implement robust, secure, and scalable systems using Kubernetes for orchestration and terraform for infrastructure-as-code.

What you'll be responsible for:

• Design, implement, and optimize cloud-native infrastructure on GCP to support our SaaS product. 
• Lead the deployment and management of Kubernetes clusters, ensuring high availability and security. 
• Develop and maintain Terraform scripts for automated provisioning of cloud resources and environments. 
• Collaborate with development and product teams to deliver scalable and reliable solutions. 
• Establish CI/CD pipelines and automate infrastructure deployment and application delivery workflows. 
• Set up and monitor observability solutions (logging, monitoring, alerting) to ensure operational excellence. 
• Identify and resolve performance bottlenecks, contributing to continuous platform optimization. 
• Drive adoption of DevOps practices and mentor junior engineers in Kubernetes, GCP, and Terraform best practices. 
• Participate in on-call rotations and support incident response as a senior technical resource in 24/7 rotational environment.

What you'll bring to Maropost:

• 5+ years of experience in platform engineering, SRE, or DevOps, with a focus on cloud-native SaaS environments. 
• Strong hands-on expertise with GCP services (Compute Engine, GKE, Cloud SQL, IAM, etc.). 
• Advanced skills in Kubernetes cluster management, workload orchestration, and troubleshooting. 
• Deep proficiency in Terraform and infrastructure-as-code concepts for cloud automation. 
• Experience designing and maintaining CI/CD pipelines (Bitbucket, Build kite, Argo CD , or similar). 
• Proficient in scripting/programming (Python, Go, or Bash). 
• Solid understanding of networking, security, and compliance in cloud environments. 
• Familiarity with monitoring and observability tools (Prometheus, Grafana, Stack driver, etc.). 
• Excellent problem-solving, communication, and team collaboration skills. 
• Exposure to service mesh (Istio, Linkerd), cloud cost optimization, or FinOps. 
• Experience with other public clouds (AWS, Azure). 
• Certifications in GCP, Kubernetes, or Terraform. 
• You exemplify Maropost’s Values: 
• Customer Obsessed 
• Extreme Urgency 
• Excellence 
• Resourceful

Message from the Founders: Maropost is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all.

If that isn't for you that’s ok, for those of you that it is please get in touch with us!

About AGI Ready

We're an AI-native development studio. We don't build "websites" — we build agents, automations, and custom products for clients who need real software shipped fast. Our stack is modern (Next.js, TypeScript, Claude Code), our pace is high, and our philosophy is simple: 60% with AI beats 0% without.

We're a small team scaling deliberately. This is an early hire, which means real ownership, real impact, and a front-row seat to building the agency from the inside.

The Role

You'll be a core builder. That means owning features end-to-end — from understanding what the client needs, to architecting it, to shipping production code, to fixing it when it breaks. You won't be handed perfect tickets. You'll be handed problems, and you'll be trusted to solve them.

You'll work primarily with AI coding tools (Claude Code, Codex) as your daily drivers. We're looking for someone who has moved past "AI writes my code for me" and into vibe engineering — using AI as a thought partner and force multiplier while still owning architecture, judgment, and quality.

What You'll Do

• Build and ship full-stack features using Next.js, TypeScript, and Node.js
• Architect and integrate APIs (third-party services, AI APIs, webhooks, async workflows)
• Use Claude Code and Codex to move fast without sacrificing quality
• Debug, deploy, and own production — not just write code and walk away
• Break complex problems into smaller, manageable pieces and ship iteratively
• Work directly with the founder and a tight team on multiple client products

What We're Looking For

Must-haves

• 1+ year of hands-on experience at a real product startup (shipping, not just learning)
• Strong with Next.js, TypeScript, and Node.js
• Comfortable using Claude Code and Codex as primary development tools
• Real vibe engineering experience — you direct AI, you don't just copy-paste from it
• Solid grasp of API integrations, webhooks, and async processing
• Can debug AI-generated codebases and take them to production

Preferred

• 3–5 years of product/startup experience
• Experience with managed services (Supabase, Clerk, etc.) over building everything from scratch
• Exposure to building agents or AI workflows (MCP, OpenAI APIs, agentic frameworks)

Who Thrives Here

We hire for trajectory, not credentials. The people who do well at AGI Ready tend to be:

• Frugal — you hack solutions together with what's available instead of waiting for perfect conditions
• Transformation-driven — show us your last two years, not your degree. We care where you've come from and how fast you climb
• Self-driven builders — you've taught yourself skills nobody handed you, and you ship things because you can't help it
• Assembly-minded — your first instinct is "who's already solved this?" not "let me build it from scratch"
• In it for the long run — we're looking for people to grow with, not churn through

How to Apply

Send us:

1. Your GitHub or portfolio
2. One thing you built that nobody asked you to build
3. A short note on a hard technical problem you solved — and how you used AI to solve it

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

We are looking for:

A highly motivated AI Engineer to design, develop, and deploy AI/ML-based solutions. The ideal candidate should have strong problem-solving skills, hands-on experience with machine learning frameworks, and the ability to work on scalable AI applications.

Key Responsibilities:

• Develop, test, and deploy AI/ML models and applications.

• Work on NLP, Generative AI, LLMs, and predictive analytics solutions.

• Collect, clean, and process structured and unstructured data.

• Optimize model performance and ensure scalability.

• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

• Integrate AI models into production systems and APIs.

• Stay updated with the latest advancements in AI and machine learning technologies.

Required Skills:

• Strong knowledge of Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Understanding of Machine Learning, Deep Learning, NLP, and Generative AI concepts.

• Experience working with APIs, databases, and cloud platforms.

• Familiarity with LLMs, prompt engineering, and vector databases is preferred.

• Good understanding of data structures and algorithms.

• Strong analytical and problem-solving abilities.

Senior Python Developer (AI Systems & Scalable Backend)

Work Mode: Work from Office (No Remote Option)

We are looking for a Senior Python Developer to build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Key Responsibilities:-

• Design and develop scalable backend services and APIs using FastAPI
• Build modular, maintainable systems with clear service contracts and abstractions
• Implement asynchronous processing pipelines for compute-heavy AI workloads
• Design and manage job queues (Celery, RQ, or similar) and integrate Redis
• Handle long-running and GPU-based tasks
• Work with PostgreSQL and integrate object storage (S3 or equivalent)
• Integrate and productionize ML models
• Optimize inference pipelines for latency, batching, and throughput
• Ensure system reliability with retries, fallbacks, and monitoring
• Collaborate with Data Science, Frontend, and DevOps teams

Required Skills:-

• 5+ years of Python development experience
• Hands-on experience with FastAPI and REST APIs
• Strong understanding of async programming and scalable systems
• Experience with Redis and queue systems (Celery, RQ, Kafka)
• Strong PostgreSQL experience
• Experience with Docker (mandatory); Kubernetes is a plus
• Familiarity with AWS, GCP, or Azure

Good to Have:-

• Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)
• Experience deploying ML models in production
• Understanding of GPU workloads and optimization
• Background in image/video processing or real-time systems

What We’re Looking For:-

• Strong problem-solving and system design mindset
• Ability to handle real-world scale and unstructured data
• Experience in AI-integrated backend systems

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

Full Stack Engineer – Spacetil

About Spacetil

Spacetil is a modern financial operations and accounting automation platform that helps businesses streamline bookkeeping, banking integrations, transaction processing, reconciliations, and financial reporting. We are building scalable products that simplify complex financial workflows for customers across multiple geographies.

Role Overview

We are looking for a passionate Full Stack Engineer (1–3 years experience) to join our product engineering team. You will work across the entire technology stack to design, build, and maintain scalable web applications and backend services. This role offers the opportunity to contribute directly to product development, collaborate with cross-functional teams, and solve real-world business challenges.

Responsibilities

• Develop and maintain scalable web applications using modern frontend and backend technologies.
• Design and implement RESTful APIs and backend services.
• Build responsive and intuitive user interfaces using React.js and Tailwind CSS.
• Develop robust server-side applications using Java and Python.
• Write efficient SQL queries and optimize database performance.
• Collaborate with product managers, designers, and fellow engineers to deliver high-quality features.
• Participate in code reviews and contribute to engineering best practices.
• Troubleshoot, debug, and resolve production issues.
• Continuously improve application performance, security, and reliability.

Required Skills

• 1–3 years of experience in full-stack software development.
• Strong proficiency in Java and/or Python.
• Experience with React.js and modern frontend development.
• Good understanding of SQL and relational databases.
• Experience with Tailwind CSS for responsive UI development.
• Understanding of REST APIs, authentication, and web application architecture.
• Familiarity with Git and collaborative development workflows.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with Spring Boot, PostgreSQL, or similar frameworks/databases.
• Exposure to cloud platforms (AWS, Azure).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience working with financial, accounting, or fintech products is a plus.

What We Offer

• Opportunity to work on a fast-growing fintech platform.
• Flexible remote-first work environment.
• Ownership of impactful projects and features.
• Collaborative and learning-focused engineering culture.
• Competitive compensation and career growth opportunities.

Location: Remote

Experience: 1–3 Years

Employment Type: Full-Time / Contractual

Skills: Java, Python, SQL, React.js, Tailwind CSS

Join Spacetil and help build the next generation of financial automation solutions.

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level 

This role is ideal for engineer with 2+ years of full-stack software development experience, with a strong developer mindset and hands-on experience building and maintaining production systems. 

An experienced individual contributor who thrives in ownership-driven environments, can operate effectively with minimal oversight, and is comfortable working in the absence of a traditional Product Manager while demonstrating a strong product mindset. 

What You’ll Do as a Software Craftsperson 

Design, develop, and maintain custom Frappe apps within the frappe-bench ecosystem. 

• Write server scripts, client scripts, and custom DocTypes to extend ERPNext functionality. 
• Implement hooks, custom controllers, and REST APIs using the Frappe framework. 
• Work with DocType permissions, roles, and user-level access controls. 
• Debug and resolve issues in both local and production environments. 
• Collaborate with cross-functional teams during UAT and production deployments. 
• Maintain clean, version-controlled code using Git and follow code review practices. 
• Participate in requirement gathering sessions and translate business needs into technical solutions. 
• Set up and monitor systems to ensure system reliability and observability. 
• Make thoughtful technical decisions that balance simplicity, scalability, and maintainability 
• Work in a highly autonomous environment, defining problems, interacting with customers when needed, and driving solutions independently 
• Contribute to improving engineering practices, developer experience, and system quality across the team. 

Requirements

What You’ll Bring 

• 1–2 years of experience with Frappe framework and ERPNext. 
• Proficiency in Python (server-side scripting, custom controllers, hooks). 
• Solid understanding of JavaScript for client-side scripting in Frappe forms. 
• Experience creating and configuring custom DocTypes, fields, and workflows. 
• Familiarity with MariaDB/MySQL — writing queries, understanding schema. 
• Hands-on experience with Git for version control and branch management. 
• Comfort working in Linux/Ubuntu CLI environments (bench commands, SSH, etc.). 

Good to Have 

• Experience with custom app development and publishing via frappe-bench. 
• Familiarity with REST API integrations with third-party systems. 
• Exposure to Frappe Cloud or self-hosted ERPNext deployments. 
• Basic understanding of DevOps practices — backups, server management, deployment pipelines. 

What We Value 

• Extreme ownership – you take responsibility for outcomes and drive work end-to-end 
• Ability to execute independently and define problems, not just solve assigned tasks 
• A strong product mindset – willingness to talk to customers, understand problems deeply, and define direction when needed 
• Deep care about developer experience and engineering quality 
• High standards, autonomy, and a bias toward action 

Benefits

Life at Incubyte  

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks 

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance.  
• Employee-friendly leave policies. 
• Home Office fund 

Key Responsibilities

• Design, develop, test, and maintain PHP-based web applications and APIs.
• Build and enhance features for our SaaS platform with a focus on performance, scalability, and security.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code following best practices.
• Optimize application performance and troubleshoot production issues.
• Integrate third-party services, APIs, and payment gateways as required.
• Participate in code reviews and contribute to improving development processes.
• Work with databases to design efficient schemas, write optimized queries, and ensure data integrity.
• Assist in deployment, monitoring, and ongoing maintenance of applications.

Hiring: Full-Stack Developer (1–3 yrs) — Performance Marketing Tech | Panchkula (Hybrid)

Hey, I run Chevron Media. We're a small, profitable performance marketing team in Panchkula running lead generation campaigns at scale across Facebook, Google, TikTok, and Newsbreak — mostly for the US market.

We're looking for our first tech hire. Whoever takes this role gets to build the foundation. Not maintain someone else's code. Not fix legacy bugs. Build.

Why this is a rare role for someone 1–3 years in :-

Most developers at your stage spend a year doing tickets on a backlog before anyone trusts them with real work. Here, you walk in on day one and start building things the entire company will use the next morning.

You'll work directly with my co-founder and me. No managers in between. No politics. Your code goes live, your decisions matter, and you'll see the business impact within a week — not a quarter.

You'll also learn an industry most developers don't know exists. Performance marketing is one of the few fields where good tech people make outsized money — because every dashboard, automation, and launcher you build multiplies revenue directly. The developers who understand this space well are paid in a different league than typical web devs. You'll get that knowledge here, working hands-on.

What you'll actually build

In order of priority:

• A central dashboard that pulls live data from the Facebook Ads API and RedTrack API. Spend, revenue, profit, CPC, CTR, CPM, ROAS — by campaign, ad, and ad account, with time filters. This is your first project, and it ships in your first 4–6 weeks.
• A bulk launcher built on the Meta Marketing API. Our buyers sometimes launch 20 campaigns with 50 ad sets each. Today it's manual and brutal. You'll make it not.
• Automations and custom rules engines — auto-pause rules, daily reports, creative pipelines, anything we can take off humans. This work never ends. There's always something worth automating.
• Be the tech voice in the room. When we ask, "Can we do X with API Y?" you tell us what's possible. You're not just executing — you're shaping what gets built.

What we're looking for

• 1–3 years of full-stack development experience (personal projects count if they're real)
• Solid in JavaScript/TypeScript, Python, or both
• Comfortable working with REST APIs — bonus if you've ever touched an ad platform API
• Have built and deployed at least one project end-to-end that real people could use
• Can read API documentation and figure things out without hand-holding

Nice to have

• Next.js, React, or Supabase experience
• Worked with Facebook Marketing API or Google Ads API
• Any exposure to performance marketing or affiliate marketing
• Built a dashboard before — even a personal project counts

Location

Hybrid in Panchkula. Some days in office, some days remote — we'll figure out the rhythm together.

Salary

₹60,000 – ₹90,000/month, based on what you've actually built.

How to apply

Send a message with:

• A link to one thing you've built. GitHub, live URL, anything. I care more about what you've shipped than what's on your CV.
• One line on why this role interests you.
• Include the word "launcher" in your message so I know you actually read this.

If you don't have a link to something you've built yet, this role isn't right for you today. Spend a weekend building a small thing, then come back. Said with respect, this role is for people who already build, not people who plan to start.

Looking forward to meeting you.

— Acw, Founder, Chevron Media

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

Job Title: Digital Automation Engineer 

Experience: 3+ Years

Location: Remote

Role Summary

We are looking for an Automation Engineer to design and build solutions that eliminate manual tasks within production support operations. This role is primarily focused on automation engineering, with secondary exposure to production support. The ideal candidate will also have hands-on experience with AWS, CI/CD pipelines, and Slack integrations to support modern automation and DevOps-driven workflows.

Key Responsibilities

• Build and deploy automation solutions using Python/Java/Node.js or RPA tools
• Automate monitoring, alerts, reporting, and reconciliation processes
• Integrate systems via REST APIs, database connections, and file-based workflows
• Identify and optimize manual support processes through automation
• Support L2/L3 production activities, including incident triage and RCA
• Work with monitoring tools such as Splunk and Grafana for log analytics and dashboarding
• Support releases, deployments, and environment-related activities
• Build and maintain CI/CD pipelines using tools like Git, Jenkins, GitHub Actions, or similar
• Develop AWS-based automation (Lambda, CloudWatch, S3, API Gateway, IAM workflows, etc.)
• Create automation workflows integrated with Slack for notifications, approvals, and operational triggers
• Collaborate with DevOps and Cloud teams to ensure scalable, secure automation design

Required Skills

• 3–5 years of experience in automation, scripting, or software engineering
• Strong coding skills in Python, Java, or JavaScript
• Hands-on experience with REST APIs, JSON, SQL
• Exposure to monitoring platforms like Splunk and Grafana
• Basic understanding of production support and ITIL processes
• Experience working with ServiceNow or other ITSM platforms (preferred)
• Practical experience working with AWS cloud services
• Experience building CI/CD pipelines using modern DevOps tools
• Experience implementing Slack integrations using bots, webhooks, or API-based workflows

Preferred Qualifications

• Experience with event-driven automation
• Exposure to containerization (Docker/Kubernetes)
• Knowledge of security best practices in automation and cloud workflows

Job Summary

We are looking for a skilled Data Engineer with 4+ years of experience in Python, SQL, and Power BI. The candidate will be responsible for building and maintaining data pipelines, transforming and analyzing data, and developing dashboards to support business decision-making.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Extract, transform, and load data from multiple sources using Python and SQL.
• Develop and optimize complex SQL queries, stored procedures, and database objects.
• Create interactive dashboards and reports using Power BI.
• Ensure data quality, integrity, and consistency across systems.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Monitor and troubleshoot data pipeline and reporting issues.
• Perform data validation, testing, and performance tuning.
• Document data processes, workflows, and technical specifications.

Required Skills

• 4+ years of experience in Data Engineering or related roles.
• Strong proficiency in Python (Pandas, NumPy, ETL scripting).
• Strong hands-on experience with SQL (query optimization, joins, stored procedures).
• Experience with Power BI (DAX, Power Query, dashboard development).
• Knowledge of ETL/ELT processes and data warehousing concepts.
• Experience working with relational databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
• Understanding of data modeling and database design principles.
• Experience with version control tools such as Git.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of data integration tools like Azure Data Factory, SSIS, Airflow, or Informatica.
• Familiarity with Databricks, Spark, or big data technologies.
• Understanding of CI/CD and DevOps practices.
• Experience with REST APIs and data integration.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

We are looking for an experienced Quality Automation Lead to drive end-to-end test automation strategy, framework development, and quality engineering initiatives. The ideal candidate should have strong expertise in Python, Robot Framework, UI/API automation, CI/CD integration, and AI-enabled testing practices.

Key Responsibilities

• Design and maintain scalable automation frameworks using Python and Robot Framework.
• Develop and execute UI and API automation test suites.
• Integrate automation into CI/CD pipelines using Jenkins.
• Implement AI-driven testing approaches for intelligent test generation and validation.
• Collaborate with Engineering, Product, and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and establish automation best practices.

Required Skills

• 7–10 years of automation testing experience.
• Strong expertise in Python and Robot Framework.
• Hands-on experience with Selenium and/or Playwright.
• Experience in API automation (REST APIs, OpenAPI/Swagger).
• Good knowledge of Jenkins, CI/CD pipelines, AWS, and Docker.
• Strong analytical, problem-solving, and leadership skills.

Good to Have

• Experience with AI-enabled automation and intelligent testing.
• Exposure to IGA/IAM domain.
• Knowledge of Postman, Allure Reports, observability tools, and quality dashboards.

Chief Technology & Product Officer (CTPO)

Company: Miror Therapeutics Private Limited (miror.in)

Location: Bangalore

Type: Full-time

About Miror

Miror is building India's largest 360° care network for women - supporting them through menstruation, perimenopause, menopause, and beyond. We bring together a thriving community of 75,000+ women, 100+ doctors across gynaecology, oncology, urology and sexual health, nutrition and mental health, India's first dedicated HRT Centre of Excellence, a personalized care app, expertly formulated supplements, and a women's wellness rewards program.

We're bootstrapped and revenue-generating, with real users and real impact. We're now looking for a technology and product leader to deepen our digital platform and scale the experience to millions more women.

The role

As Chief Technology & Product Officer, you'll own both the engineering and product functions at Miror. This is a combined role by design: we need one leader who holds the technical architecture and the product vision together, keeps them tightly aligned, and ships. You'll set technical direction, own the product roadmap across our app and digital platform, and build the team that delivers - all while honoring the trust women place in us with sensitive, deeply personal health journeys.

Because we're bootstrapped, this is a role for someone who values capital efficiency, durable margins, and building things that last.

What you'll own

Product

• Define and own the product vision and roadmap in partnership with the CEO
• Translate deep understanding of women's health - menstruation through menopause - into product that earns daily trust
• Own the full product lifecycle across the app, community, teleconsultation/appointments, HRT programs, commerce (shop and supplements), and rewards
• Establish how the team prioritizes, measures, and learns from users

Technology

• Own the technical architecture of the Miror app and digital platform
• Lead engineering execution: quality, velocity, reliability, and security
• Make pragmatic build-vs-buy and platform decisions that keep us lean and fast
• Own data architecture with privacy and protection of sensitive health data as a first principle

Leadership

• Build, lead, and mentor the combined product and engineering team
• Set the engineering and product culture for the company
• Be a credible internal and external voice for the platform

Must-haves

• Demonstrated experience in femtech or digital health - you understand women's health, the sensitivity of the data involved, and what it takes to earn and keep user trust in this space
• Track record of owning both product and engineering at a senior level (VP+ or prior CTO/CPO/CTPO)
• Strong software and app development background; comfortable being hands-on architecturally
• Experience handling sensitive health data and the regulatory/privacy landscape around it (India's DPDP Act, plus relevant global standards like HIPAA/GDPR; awareness of telemedicine and digital-health regulatory considerations)
• Ability to lead a lean team and make capital-efficient decisions in a bootstrapped environment
• Proven ability to hire, grow, and retain product and engineering talent

Nice-to-haves

• Experience scaling a consumer health or community-driven product post-PMF without external funding
• Experience with teleconsultation, e-commerce/D2C, or marketplace-style products
• Comfort with our stack: [e.g. Python backend, Flutter app] - or strong reasons to evolve it

Why join

• Real revenue, real users, and a community of 75,000+ women who already trust us
• A genuine seat at the table: you'll shape the company, not just execute someone else's plan
• A mission that matters: transforming how India cares for women's midlife and lifelong health

Connect with me on my LinkedIn

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Warble Cloud is expanding its cognitive infrastructure team and is seeking a freelance Solution Engineer focused on Agentic AI and LLMs in Pune.

This role involves building and scaling multi-agent orchestration systems, particularly our Reflexion Engine

and Actor/Critic reasoning loops

.Engagement Details:- Format: Freelance / Part-time- Bandwidth: Strictly 2 hours daily- Location: Pune, Maharashtra (Local candidates only; no exceptions)

Requirements:- Experience: 2+ years in MLOps and LLM-driven development.- Technical Stack: Proven ability to build and deploy generative AI applications, work with RAG pipelines, and integrate LLMs with complex backend infrastructures.- Ecosystem: Familiarity with deploying models (like Gemma, Qwen, Llama) and agentic frameworks. Experience with Model Context Protocol / MCP servers is a significant advantage.

What You Will Do:- Collaborate directly with engineering leadership to refine and optimize LLM reasoning loops.- Contribute to the deployment of safe, token-efficient agentic workflows.- Ensure seamless integration of AI models into cloud-native, Kubernetes-driven environments.How to Apply:If your background aligns with the requirements and you meet the location

. #Hiring #Pune #PuneJobs #Freelance #MLOps #LLM #GenerativeAI #AgenticAI #WarbleCloud #PlatformEngineering

• 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.

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.

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

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.