AI or ML Engineer

UnitedHealth Group; Bengaluru; On-site; Confidential; Full time

Job summary

UnitedHealth Group in Bengaluru seeks an experienced ML Engineer to drive Generative AI initiatives, build embedding models, and implement RAG pipelines across enterprise systems. You will collaborate with AI/ML engineers, data engineers and product teams to deliver scalable, cost-efficient AI solutions.

The role emphasizes end-to-end ML development, model evaluation, and clear communication with stakeholders to translate business needs into technical impact.

Qualifications

• Graduate degree or equivalent experience.
• Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related.
• 4+ years of relevant experience, including solid ML model development.
• Hands-on expertise in Databricks, Spark, Python, Scala, SQL.
• LLM & GenAI skills: custom embeddings, RAG pipelines, vector DBs, LangChain, OpenAI/Azure OpenAI, Azure cloud.
• CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform.
• Strong ability to build ML models end to end with data prep, feature creation, training and evaluation.
• Proven excellent communication and partnership skills.

Responsibilities

• Contribute to experimentation with novel ML and Generative AI architectures.
• Create and maintain embedding models (domain-specific embeddings).
• Support Retrieval Augmented Generation (RAG) solutions, including semantic search and LLM integration.
• Help design and implement AI powered enterprise applications.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Collaborate with AI/ML Engineers and Leads to improve models and performance.
• Optimize AI pipelines for scalability, performance, reliability and cost.
• Integrate AI/ML solutions into enterprise systems with data engineering, product and platform teams.
• Communicate complex technical concepts clearly with cross-functional teams.
• Contribute to skill development for engineers and interns in AI/LLM techniques.

Skills

Databricks

Spark

Python

Scala

SQL

LLM/GenAI

RAG pipelines

VectorDB/semantic search

LangChain

OpenAI/Azure OpenAI

Azure cloud

CI/CD

End-to-end ML

Education

Bachelor's/Master's in CS/Engineering/Math/Statistics

Tools

Git

GitHub Actions/Jenkins

Terraform

Job description

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:

• Contribute to experimentation with novel ML and Generative AI architectures
• Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
• Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
• Help design and implement AI powered enterprise applications
• Analyze large datasets to identify trends, patterns, and actionable insights
• Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
• Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
• Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
• Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
• Contribute to skill development for engineers and interns in AI/LLM techniques
• Comply with company policies, procedures, and directives
• 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

Required Qualifications:

• Graduate degree or equivalent experience
• Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
• 4+ years of relevant experience, including solid ML model development
• Hands-on expertise in Databricks, Spark, Python, Scala, SQL
• LLM & GenAI Skills:
  • Creating custom embedding models
  • Building RAG pipelines
  • Vector DBs & semantic search
  • Using LangChain for agentic workflows (tools, agents, memory)
  • Experience with OpenAI/Azure OpenAI APIs
  • Experience with Azure cloud for compute, security, and resource management
  • CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
• Solid ability to build ML models end to end (data prep → feature creation → training → evaluation)
• Proven excellent communication and partnership skills

Preferred Qualifications:

• Experience with multimodal or transformer-based models
• NLP or enterprise search experience
• Agile/Scrum experience
• Healthcare or PI/FWA analytics exposure
• Domain knowledge
• Knowledge of Call Center (Member & Provider)
• Knowledge of Provider RCM
• Knowledge of EHR/clinical datasets

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.