Data Scientist + AI ENgineer (Bengaluru)

Data Scientist + AI ENgineer (Bengaluru)

11 Sep
|
UST
|
Bengaluru

11 Sep

UST

Bengaluru

Role Description

ML Engineer I

Who We Are

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 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

You are: 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

The Prospect

Experience: 5–7 years in ML/AI engineering Reports To: AI Technical Lead / Manager, AIML Education: B.E./B.Tech or M.Tech in CS, Data Science, or related field
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

What Are We Looking For

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.
Model fine-tuning (LoRA/PEFT), multi-modal AI, and model evaluation frameworks.
LLMOps / MLOps a

📌 Data Scientist + AI ENgineer (Bengaluru)
🏢 UST
📍 Bengaluru

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