Associate AI/ML Engineer

Optum India; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Optum India is seeking a skilled AI/ML data engineer to analyze requirements, design scalable data pipelines, and mentor a team of AI engineers. You will work with Azure Databricks, PySpark, and LangChain while aligning with US business hours.

Strong communication and healthcare domain knowledge are preferred. This role offers growth, global impact, and collaboration with a diverse, inclusive team in a fast-paced environment.

Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science, AI/ML, or a related field
• 4+ years of Data Engineering experience
• 3+ years of Azure Databricks, Python, Scala and PySpark
• 3+ years of experience working on MS SQL Server and NoSQL DBs like Cassandra
• 3+ years of experience working on AI Frameworks using LangChain, LangGraph, LangFuse
• Hands on experience in the Streaming application (Kafka, Spark Streaming)
• Solid healthcare domain knowledge
• Ability to understand the existing application codebase, perform impact analysis and update the code when required based on business logic or for optimization
• Proven exposure to following DevOps methodology and creating CI/CD deployment pipeline
• Proven exposure to following Agile methodology specifically using tools like Rally
• Proven excellent Analytical and Communication skills (Both Verbal and Written)
• Proven ability to determine the impact of changes in current functionality of the system
• Proven ability to handle Gen AI, RAG, LLM based assignments independently, end-to-end SDLC
• Proven ability to manage a team of AI Engineer, and provide techno-functional mentoring
• Proven flexible to collaborate with onshore business, during US business hours
• Proven flexible to support project releases, during US business hours

Responsibilities

• Analyze business requirements & functional specifications
• Adherence to the defined delivery process/guidelines
• Drive project quality process compliance
• Contribute to drive & enforce AI Engineer industry standards and best practices in the team
• 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 (implied or otherwise) on its ability to do so

Skills

Data engineering

Python

Scala

PySpark

Analytical skills

Communication skills

Team mentoring

US collaboration

Gen AI / LLM

Education

CS/Engineering/Data Science/AI-ML degree

Tools

Azure Databricks

MS SQL Server

Cassandra (NoSQL)

Kafka

Spark Streaming

LangChain / LangGraph / LangFuse

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

• Analyze business requirements & functional specifications
• Adherence to the defined delivery process/guidelines
• Drive project quality process compliance
• Contribute to drive & enforce AI Engineer industry standards and best practices in the team
• 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

• Bachelor's or master's degree in computer science, Engineering, Data Science, AI/ML, or a related field
• 4+ years of Data Engineering experience
• 3+ years of Azure Databricks, Python, Scala and PySpark
• 3+ years of experience working on MS Sql Server and NoSQL DBs like Cassandra, etc.
• 3+ years of experience working on AI Frameworks using LangChain, LangGraph, LangFuse
• Hands on experience in the Streaming application (Kafka, Spark Streaming, etc.)
• Solid healthcare domain knowledge
• Ability to understand the existing application codebase, perform impact analysis and update the code when required based on business logic or for optimization
• Proven exposure to following DevOps methodology and creating CI/CD deployment pipeline
• Proven exposure to following Agile methodology specifically using tools like Rally
• Proven excellent Analytical and Communication skills (Both Verbal and Written)
• Proven ability to determine the impact of changes in current functionality of the system
• Proven ability to handle Gen AI, RAG, LLM based assignments independently, end-to-end SDLC
• Proven ability to manage a team of AI Engineer, and provide techno-functional mentoring
• Proven flexible to collaborate with onshore business, during US business hours
• Proven flexible to support project releases, during US business hours

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.