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.

- Strong 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