Key Responsibilities
Design, develop, and maintain applications using Python.
Build and deploy Generative AI and Machine Learning solutions for business use cases.
Develop and optimize AI-powered applications using Large Language Models (LLMs).
Create and maintain data pipelines for AI and ML workflows.
Develop APIs and backend services for AI applications.
Work with structured and unstructured datasets for model training and inference.
Perform data analysis, feature engineering, and model evaluation.
Integrate AI/ML models with enterprise applications and cloud platforms.
Monitor model performance and implement improvements.
Collaborate with cross-functional teams throughout the SDLC lifecycle.
Ensure security, scalability, reliability, and performance of AI solutions.
Prepare technical documentation and knowledge-sharing materials.

Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
3+ years of experience in Python development.




Hands-on experience in Generative AI and Machine Learning projects.
Robust problem-solving and analytical skills.
Experience in software development lifecycle and Agile methodologies.

Technical Skills

Programming
Python
Object-Oriented Programming (OOP)
REST API Development
Microservices Architecture

Generative AI
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents and Autonomous Workflows
Vector Databases
Fine-Tuning and Model Optimization
AI Application Development

AI Platforms & Frameworks
OpenAI
Azure OpenAI
LangChain
LlamaIndex
Hugging Face
Transformers
Semantic Kernel (Preferred)

Machine Learning Skills
Supervised Learning
Unsupervised Learning
Classification & Regression
Clustering Techniques
Model Training & Evaluation
Feature Engineering
Model Deployment
MLOps Concepts

ML Frameworks
Scikit-learn

📌 Gen Ai Python Developer Delhi
🏢 Tata Consultancy Services
📍 Delhi