Python For Data Science/ ai ml ops engineer

Tata Consultancy Services Limited; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Job security

Learning opportunities

Job summary

Tata Consultancy Services is hiring for an AI/ML Platform Engineer to strengthen our AI capabilities at scale in Bengaluru. The role emphasizes hands-on work with Azure, AKS/Kubernetes, Databricks, and MLflow to build reliable AI platforms.

You will work on LLMOps, RAG pipelines, and vector stores, and you will script automation in Python to streamline workflows, collaborating across product and engineering teams.

Qualifications

• Hands-on AI/ML ops experience and platform reliability.
• Strong Python and automation scripting skills.
• Experience with Azure, Kubernetes, and Databricks.
• Familiarity with LLMOps, RAG pipelines, and vector stores.

Responsibilities

• Design and operate AI/ML systems with high reliability.
• Support LLMOps and RAG pipelines.
• Work with vector stores (FAISS, Pinecone, Chroma) for retrieval.
• Collaborate with research and product teams.

Skills

Python

Automation scripting

LLMOps

RAG pipelines

Vector stores

Azure

Kubernetes (AKS)

Tools

Databricks

MLflow

FAISS

Pinecone

Chroma

Job description

Role & responsibilities

• Strong hands on experience with Azure, AKS/Kubernetes, Databricks, MLflow
• Experience with LLMOps, RAG pipelines, and vector stores (FAISS, Pinecone, Chroma, etc.)
• Proficiency in Python and automation scripting
• Strong understanding of AI/ML system operations and platform reliability

Role Category: IT & Information Security - Other

Campus Corner: TCS Synergy Park, Hyderabad

Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world's largest businesses for the past 50 years. We believe innovation and collective knowledge can transform all our futures with greater purpose.

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Company verified benefits

• strong job security, stable work environment, and foundational learning opportunities