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 solid builder
The Opportunity:
· 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
📌 Data Scientist + AI ENgineer (Bengaluru)
🏢 UST
📍 Bengaluru