02 Oct
|
Tata Consultancy Services
|
Hyderabad
02 Oct
Tata Consultancy Services
Hyderabad
Role & responsibilities
Design and develop GenAI and AI-powered applications.
Build and optimize RAG pipelines and AI Agent solutions.
Develop scalable APIs and cloud-native microservices.
Deploy, monitor, and maintain AI/ML models in production.
Implement MLOps/LLMOps best practices.
Collaborate with architects, data scientists, and business teams.
Ensure AI security, governance, and Responsible AI compliance.
Drive innovation using emerging AI technologies.
Key skills-
Generative AI (GenAI)
Large Language Models (GPT, Gemini, Claude, Llama)
RAG (Retrieval Augmented Generation)
Agentic AI & AI Agents
Prompt Engineering
LangChain, LlamaIndex, Semantic Kernel
Python, SQL
TensorFlow, PyTorch, Scikit-Learn
Azure AI Foundry, Azure OpenAI, Vertex AI
Docker, Kubernetes
CI/CD, MLOps, LLMOps
REST APIs & Microservices
Vector Databases (Pinecone, FAISS, ChromaDB)
MLflow, LangSmith, Prometheus
📌 Ai Digital Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad