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AI Engineer + Data Scientist

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Onsite

AI Engineer + Data Scientist

UST

AI Engineer + Data Scientist

Skills

Google Cloud PlatformDockerPythonNeo4jDatabricksGitJenkinsMachine LearningAIAWSGitHubKubernetesSupply ChainComplianceAzure

1 month ago

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Important information


Location:

Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Role description

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

Job Description

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.

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.

UST reserves 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

Skills

Azure Machine Learning, Computer Vision, MLOps, LLMs

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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