Senior AI/ML Engineer

Taleo; Gurugram District; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

UnitedHealth Group is seeking an experienced AI/ML professional to design, deploy, and scale production-grade models across healthcare domains. You will work with LLMs, NLP, and data pipelines, collaborating with cross-functional teams to translate business needs into scalable solutions.

The role emphasizes secure, reliable AI/ML governance, CI/CD pipelines, and cloud-native deployments on Azure and AWS, with containerized workflows managed via Docker and Kubernetes.

Qualifications

• 8+ years of total software engineering and AI/ML experience.
• 3+ years of hands-on experience developing and deploying AI-based projects in production environments.
• Demonstrated expertise in multiple machine learning approaches and techniques.
• Proven success containerizing and deploying AI/ML projects at scale.
• Track record of implementing and maintaining CI/CD pipelines for ML workflows.

Responsibilities

• Design, develop, and deploy sophisticated machine learning models for production environments using supervised, unsupervised, reinforcement learning, deep learning, and advanced NLP techniques.
• Build and optimize generative AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), transformer architectures, and agentic AI systems using frameworks like LangGraph and LangChain.
• Deploy, fine-tune, and integrate LLMs from providers such as OpenAI, demonstrating expertise in prompt engineering, model customization, and optimization techniques.
• Conduct comprehensive model testing, validation, and performance optimization using rigorous evaluation metrics to ensure production-grade quality and reliability.
• Design and implement containerized AI/ML solutions using Docker and Kubernetes, establishing robust CI/CD pipelines with GitHub Actions for automated testing, validation, and deployment.
• Leverage Azure and AWS services for AI/ML projects including Databricks, AKS/EKS, Azure Data Factory, Cognitive Services, and Logic Apps, managing system scaling and cloud migrations.
• Collaborate with cross-functional teams to preprocess, analyze, and interpret extensive datasets; translate business requirements into scalable AI/ML solutions.
• Identify and resolve code vulnerabilities, implement security best practices, and ensure compliance with AI/ML governance frameworks, ethics guidelines, and responsible AI practices.

Skills

AI/ML

Containerization

CI/CD

Cloud platforms

NLP

Tools

Docker

Kubernetes

LangGraph

LangChain

Azure

AWS

Databricks

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Design, develop, and deploy sophisticated machine learning models for production environments using supervised, unsupervised, reinforcement learning, deep learning, and advanced NLP techniques


• Build and optimize generative AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), transformer architectures, and agentic AI systems using frameworks like LangGraph and LangChain


• Deploy, fine-tune, and integrate LLMs from providers such as OpenAI, demonstrating expertise in prompt engineering, model customization, and optimization techniques


• Conduct comprehensive model testing, validation, and performance optimization using rigorous evaluation metrics to ensure production-grade quality and reliability


• Design and implement containerized AI/ML solutions using Docker and Kubernetes, establishing robust CI/CD pipelines with GitHub Actions for automated testing, validation, and deployment


• Leverage Azure and AWS services for AI/ML projects including Databricks, AKS/EKS, Azure Data Factory, Cognitive Services, and Logic Apps, managing system scaling and cloud migrations


• Collaborate with cross-functional teams to preprocess, analyze, and interpret extensive datasets; translate business requirements into scalable AI/ML solutions


• Identify and resolve code vulnerabilities, implement security best practices, and ensure compliance with AI/ML governance frameworks, ethics guidelines, and responsible AI practices


• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• 8+ years of total software engineering and AI/ML experience


• 3+ years of hands-on experience developing and deploying AI-based projects in production environments


• Demonstrated expertise in multiple machine learning approaches and techniques


• Proven success containerizing and deploying AI/ML projects at scale


• Track record of implementing and maintaining CI/CD pipelines for ML workflows

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.