AI / ML Engineer
unitedhealthgroup
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Experience: 5+ Years
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Noida
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Posted 11 days ago
Job Description
- Partner with Data Science and AI/ML teams to design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions that drive predictive analytics, automation, and business value
- Build and operationalize LLM-powered applications, including RAG frameworks, AI agents, prompt engineering, orchestration workflows, and contextual data enrichment
- Deploy, monitor, and govern AI/ML models using Azure ML, Databricks ML, Azure AI Search, and modern MLOps practices
- Integrate AI/ML and LLM capabilities into enterprise data platforms, ensuring scalability, security, compliance, and responsible AI practices
- Design and develop scalable AI-enabled data pipelines using PySpark, Scala Spark, and Azure Cloud technologies
- Collaborate with architecture, data engineering, and business teams to translate business requirements into production-ready AI solutions
- Develop and optimize RAG, vector search, semantic retrieval, and knowledge management frameworks for enterprise AI applications
- Build and maintain batch, streaming, and real-time AI data processing pipelines leveraging Azure Event Hub and Spark Structured Streaming
- Implement CI/CD and MLOps automation using GitHub Actions, Jenkins, Docker, Kubernetes, and Azure DevOps
- Evaluate emerging AI technologies, frameworks, and tools to drive innovation and continuous improvement
- Develop prototypes, proof-of-concepts (POCs), and production-grade AI applications while participating in architecture, design, and code reviews
- Create technical documentation and provide support for AI/ML application deployments, monitoring, and incident resolution
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so