Business Analyst

Tata 1mg
Tata 1mg

IT, Sales & Business Development

Gurugram, Haryana, India · Sector V, Salt Lake City, Kolkata, West Bengal, India · Greater Kailash Enclave I, Greater Kailash, New Delhi, Delhi8, India · Ab Road, Indore, Madhya Pradesh, India

Posted on Oct 27, 2026

Designation: Business Analyst

Office Location: Gurugram

■■ WHAT YOU WILL DO

AI Solution Development

• Build and deploy Gen AI applications across healthcare, supply chain, retail, and enterprise workflows.

• Design scalable backend systems and APIs for AI-driven applications.

• Develop intelligent automation workflows using LLMs and agentic systems.

LLM Engineering

• Build applications using LLM frameworks such as LangChain, LlamaIndex, or equivalent.

• Implement prompt engineering, evaluation pipelines, and model optimization.

• Work on RAG pipelines, vector search, document retrieval, and enterprise knowledge systems.

AI Deployment & Operations

• Productionize AI solutions with reliability, monitoring, and observability.

• Optimize latency, token usage, and inference costs.

• Build evaluation systems for quality benchmarking across models and vendors.

• Maintain deployment pipelines and support enterprise scaling.

Partner & Product Collaboration

• Collaborate with internal business teams to understand use cases.

• Work with external AI vendors and implementation partners.

• Evaluate build vs buy decisions and support AI architecture choices.

■ WHAT WE ARE LOOKING FOR

Experience Technical Skills Preferred

• 2–4 yrs AI/ML engineering • Min. 1

yr hands-on Gen AI / LLM dev •

Shipped AI apps to production

• Python (strong) • Pandas, NumPy,

Scikit-learn • OpenAI, Claude, AWS

Bedrock, Vertex AI • Vector DBs,

embeddings, RAG • API dev &

MLOps

• Speech / audio AI • AI evaluation

frameworks • AI observability &

governance • Healthcare or

e-commerce domain

■ TOOLS & TECHNOLOGIES

Python SQL LangChain LlamaIndex

OpenAI / Anthropic AWS Bedrock Databricks Prompt Engineering

Agentic AI Vector Databases

AI Monitoring &

Observability