Data Scientist

UST; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

UST is looking for an AI Engineer/Developer to build and ship production-grade GenAI and agentic AI applications that automate enterprise workflows from design through deployment. This hands-on role requires 5–7 years of ML/AI engineering experience and a strong CS/Data Science background.

Responsibilities include designing RAG pipelines, deploying on Azure with CI/CD, and implementing guardrails for responsible AI.

Qualifications

• 5+ years of ML/AI engineering with production LLM/agentic delivery.
• Advanced Python and at least one agent framework (LangGraph, AutoGen, CrewAI, PydanticAI).
• Strong LLM and prompt-engineering skills (GPT, Claude, LLaMA) with hands-on RAG workflows.
• Azure AI stack (Azure OpenAI, AI Services) and Databricks ML (MLflow, Delta Lake).
• Vector databases (FAISS, Pinecone, Chroma) and embedding/retrieval design.

Responsibilities

• Build and ship GenAI and agentic AI applications automating enterprise workflows.
• Design RAG pipelines with chunking, hybrid search, re-ranking, memory, tool orchestration.
• Deploy and monitor AI workloads on Azure (AKS/ARO) with CI/CD and observability.
• Implement responsible-AI guardrails and content filtering.
• Define evaluation metrics for task success, hallucination, latency, and cost.

Skills

ML/AI engineering

Python

Agent frameworks

LLM / prompt engineering

Azure AI stack

Databricks ML

Vector databases

Docker / Kubernetes

CI/CD / DevOps

Production AI deployments

Education

B.E./B.Tech or M.Tech in CS/Data Science

Tools

LangGraph

AutoGen

CrewAI

PydanticAI

Job description

At UST, we help the world's best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact touching billions of lives in the process. Visit us at UST.com

Summary:

UST is looking for AI Engineer / Developer.

Experience: 5 to 7 years in ML/AI engineering

Education: B.E./B.Tech or M.Tech in CS, Data Science, or related field

About the Role

Build and ship production-grade GenAI and agentic AI applications that automate enterprise workflows from design through deployment. A hands-on individual-contributor role for a strong builder.

Key Responsibilities

• Build agentic applications using LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Design RAG pipelines chunking, hybrid search, re-ranking, memory, and tool orchestration.
• Deploy and monitor AI workloads on Azure (AKS/ARO) with CI/CD and observability.
• Implement responsible-AI guardrails prompt-injection defense and content filtering.
• Define evaluation metrics for task success, hallucination, latency, and cost.

Must-Have Skills

• 5+ years ML/AI engineering with production LLM/agentic delivery.
• Advanced Python and at least one agent framework (LangGraph, AutoGen, CrewAI, PydanticAI).
• Strong LLM and prompt-engineering skills (GPT, Claude, LLaMA); hands-on RAG workflows.
• Azure AI stack (Azure OpenAI, AI Search, AI Services) and Databricks ML (MLflow, Delta Lake).
• Vector databases (FAISS, Pinecone, Chroma) and embedding/retrieval design.
• Containerized deployment (Docker/Kubernetes, AKS/ARO) and REST APIs / WebSockets / event-driven services.
• CI/CD and version control (Jenkins / GitHub Actions, Git) with SDLC and agile practices.
• Portfolio of 3+ production AI deployments with measurable business impact.

Nice to Have

• Model fine-tuning (LoRA/PEFT), multi-modal AI, and model evaluation frameworks.
• LLMOps / MLOps and model monitoring (drift, latency, cost, hallucination).
• Knowledge graphs (Neo4j); AWS Bedrock / GCP Vertex AI exposure.
• AI-augmented dev tools (GitHub Copilot, Claude Code, Windsurf) for rapid prototyping.
• Enterprise AI security, compliance, and governance awareness.
• Manufacturing or supply-chain domain experience.