Python_AIML+GenAI (4-8 Years), Pan India
Tata Consultancy Services · Hyderabad, Telangana, India
Tata Consultancy Services · Hyderabad, Telangana, India
Dear Professionals Greetings from Tata consultancy Services, Job Title : Python\\_AIML+GenAI Engineer Experiernce: 4-8 Years Location: Pan India Mode of Work : Work from Office Mode of Interview: Virtual **Key Responsibilities** - **AI/GenAI Application Development:** Architect and build Retrieval-Augmented Generation (RAG) pipelines and LLM-based agents utilizing multi-agent frameworks. - **Backend Development:** Design scalable, production-ready RESTful APIs and microservices using Python frameworks like FastAPI or Flask. - **Model Integration:** Integrate and fine-tune state-of-the-art LLMs (e.g., OpenAI, Anthropic, or open-source models) via APIs. - **Machine Learning Pipelines:** Build and support end-to-end AI/ML pipelines (data ingestion, model training, evaluation, and deployment). - **Vector Databases:** Manage and optimize data retrieval using vector databases like ChromaDB, FAISS, or Pinecone. - **MLOps & Deployment:** Containerize AI applications and manage CI/CD pipelines using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). - **Collaboration:** Partner with cross-functional teams (Data Scientists, Cloud Engineers, and Product Owners) to transition AI prototypes into enterprise production. **Core Technical Skills** - **Programming Languages:** Advanced proficiency in **Python** (including asyncio, Pydantic, pytest). - **Gen AI & LLM Frameworks:** Hands-on experience with **LangChain, LangGraph, LlamaIndex** , and AutoGen. - **ML Foundations:** Solid understanding of supervised/unsupervised learning, NLP, Transformers, and Deep Learning principles. - **Data & Vector Stores:** SQL/NoSQL proficiency, plus experience with vector databases (Pinecone, ChromaDB, FAISS, Weaviate). - **Cloud & Infrastructure:** Experience deploying AI models on **AWS, Azure, or GCP** (e.g., AWS Bedrock, Azure OpenAI). - **Tools:** Git, Docker, and MLOps tracking tools (MLflow, Kubeflow). If you are Interested in the above opportunity kindly share your updated resume to pullagura.gokulsaiakhil@tcs.com immediately with the details below (Mandatory) Name: Contact No. Email id: Skillset: Total exp: Relevant Exp: Fulltime highest qualification (Year of completion with percentage scored): Current organization details (Payroll company): Current CTC: Expected CTC: Notice period: Current location: Preffered Location Any gaps between your education or career (If yes pls specify the duration): Will you be able to join within 30/45 days? (Yes/NO)