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Tata Technologies

AI / ML Lead

Tata Technologies
India · Full-time · Mid-Senior

Technology Stack: Must haves

Programming: Python

Prompt Engineering and Model Tuning (LoRA)

Embeddings & Vector Stores (FAISS / Weaviate)

RAG pipelines & Knowledge Integration (LangChain / LightRAG)

Agent Orchestration (AutoGen / CrewAI / LangGraph)

Observability & Tracing (Langfuse / Pheonix / OpenTelemetry)

Technology Stack: Nice to have

Container & Cluster (Docker / Kubernetes / Azure / AWS)

CI/CD (Gitlab CI / GitHub Actions)

Prototyping (Streamlit / Reflex / JupyterLab)

Deep Learning Frameworks (TensorFlow / PyTorch)

Key Skills

Ranked by relevance

kubernetes tensorflow gitlab ci streamlit docker gitlab
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Posted
Oct 09, 2025
Type
Full-time
Level
Mid-Senior
Location
Pune

Industries

Engineering Services

Categories

Information Technology

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