Role & responsibilities
Design and deploy Generative AI and Machine Learning solutions.
Build LLM, RAG, NLP, and Vector Database-based applications.
Develop Time Series Forecasting and Predictive Analytics models.
Perform model training, evaluation, optimization, and deployment.
Develop Python applications and Unix shell scripts.
Collaborate with stakeholders for requirement gathering and solution design.
Support project estimation, risk management, and timely delivery.

Preferred candidate profile
6+ years of experience in AI/ML, Data Science, or related domains.
Minimum 2+ years of hands-on experience in Generative AI, LLMs, RAG, NLP, and Vector Databases.
Solid proficiency in Python programming and ML ecosystem libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
Experience in designing, developing,



and deploying production-grade Machine Learning and GenAI solutions.
Expertise in Time Series Forecasting, Regression Models, Predictive Analytics, and Statistical Analysis.
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, OpenAI/Azure OpenAI, Hugging Face, or similar technologies.
Robust understanding of Prompt Engineering, AI Agents, Prompt Chaining, and Retrieval-Augmented Generation (RAG).
Experience working with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or equivalent.
Ability to gather business requirements, create technical designs, and deliver scalable AI solutions.

📌 Senior Generative Ai Engineer Llm, Rag, Nlp, Python, Ml Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru