AI/ML Engineer - Python, LLM, RAG, Cloud
UnitedHealth Group
Bengaluru, Karnataka, IndiaMID
AIMLPythonAzure
Job Description
Optum delivers care aided by technology to improve health outcomes.
Responsibilities
- Be able to understand the Facets Delivery, Client priority and requirements
- Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer Architectures to build scalable and high-performing AI solutions
- Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
- Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
- Develop secure, maintainable software using C#, .NET, SQL and modern engineering patterns
- Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
- Implement machine learning and natural language processing projects from concept to production
- Conduct rigorous model testing, validation, and performance optimization
- Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
- Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
- Stay current with emerging trends and advancements in generative AI and ML technologies
- Mentor and lead other engineers to reach their potential
- Ensure code quality and security by identifying and resolving vulnerabilities
- Maintain solid programming practices and standards
- Provide timely updates on tasks to reporting supervisor
- Adherence to the defined SLA Compliance etc
- Provide support and leadership in critical production support issue resolution
- Participate in on-call rotations as scheduled
- Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
Qualifications
- 3+ years of experience in Python programming
- 2+ years of software engineering and testing experience in C# / .Net programming language
- 2+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
- 2+ years of Database Design/Programming
- 1+ years of Terraform scripts understanding
- 1+ years of Git action and CI/CD experience needed
- Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
- Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
Nice to have
- Prompt engineering experience
- Experience leveraging Large Language Models (LLMs)
- Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Healthcare Claims EDI Experience
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
Benefits
- Comprehensive benefits
- Career development opportunities