Data Scientist + AI ENgineer

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 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 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.

What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

USTreserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.

• Comply with all Company policies and procedures