Role & responsibilities

Skill: Agentic AI / Gen Ai/ML + Python

Preferred candidate profile primary : Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP, Python Programming, SQL experience detailed JD:

Design, build, and optimize machine learning pipelines using Google Cloud Services.Core Python Fundamentals:OOPs concepts, Functions &

- Modules, Iterators / Generators,Exception handling, Decorators, Typing / Dataclasses,Data Structures &
- Algorithms,Design Patterns.*Machine Learning:*NumPy, Pandas, Scikit-learn, XGBoost, LightGBM,PyTorch, TensorFlow, MLflow, Matplotlib*Natural Language Processing (NLP &
- OCR)*:spaCy, NLTK, Transformers, Sentence-Transformers, Gensim, pytesseract, EasyOCR.Generative &
- Agentic AI:LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini APIs, LangGraph Agents





More details on the requirement / Skills:

- Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field
- Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP
- In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals
- Rigorous knowledge of Python programming to develop software. Java is a plus.
- Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation
- Experience in integrating AI/ML into existing applications in batch and real-time

📌 generative AI Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru