Optum Logo

Optum

AI or ML Engineer

Posted 4 Hours Ago
Be an Early Applicant
In-Office
Gurgaon, Gurugram, Haryana
Mid level
In-Office
Gurgaon, Gurugram, Haryana
Mid level
Analyzes healthcare data to identify trends, optimization opportunities, and quantified business impact. Translates business questions into analytical approaches, performs data exploration and feature engineering, develops insights and dashboards, and communicates findings to technical and operational stakeholders. Collaborates with data engineering and platform teams to improve data quality and usability while contributing to reusable analytics frameworks. Requires SQL, Python, Power BI, Snowflake, Azure Data Factory, and exposure to GenAI, LLM, and RAG use cases.
The summary above was generated by AI
Requisition Number: 2397196
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:
  • Apply structured, hypothesis-driven problem solving, with guidance, to translate well-defined business questions into analytical approaches
  • Analyze healthcare data from one or a limited number of sources to identify trends and opportunities for improvement across cost, quality, and growth
  • Summarize findings into clear, decision-ready insights with a quantified business impact, typically reviewed by a senior analyst before distribution
  • Support stakeholders in a matrixed COE environment by gathering requirements, documenting problem statements, and helping align on priorities
  • Communicate insights clearly to operational audiences; assist senior analysts in preparing executive-facing storytelling
  • Help identify and flag opportunities for optimization for review and prioritization by senior team members
  • Support analytical delivery tasks such as data exploration, feature engineering, and results interpretation under supervision
  • Collaborate with data engineering and data platform teams to support data availability, quality, and usability for assigned use cases
  • Contribute to reusable analytical assets, frameworks, and best practices as directed by senior team members
  • Ensure analytical outputs are accurate and reliable, with clearly documented assumptions and limitations
  • Support process improvements to reduce low-value or redundant work
  • Assist in educating stakeholders on data-driven decision making and evidence-based practices
  • Works with well-defined, moderately complex issues
  • Developing as a resource to others within the immediate team
  • 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:
  • Degree in analytics, statistics, economics, engineering, computer science, or related field
  • 4+ years of experience in analytics, strategy, or data-driven problem solving
  • Hands-on experience with SQL, Power BI, Snowflake, and Azure Data Factory
  • Working experience with Python for data extraction, transformation, and analysis
  • Experience translating data into insights and recommendations for business or operational stakeholders
  • Experience communicating findings clearly to both technical and non-technical audiences
  • Experience working in a cross-functional, matrixed environment
  • Foundational understanding of Solution Architecture and Data Engineering concepts as applied to analytics
  • Proven exposure to GenAI / LLM / RAG (AI) tools and use cases
  • Demonstrated solid analytical thinking with the ability to work through moderately ambiguous problems with guidance

Preferred Qualifications:
  • Experience with Tableau
  • Experience in healthcare analytics (claims, financial, or operational data)
  • Experience building dashboards or data products
  • Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
  • Exposure to Databricks / Genie
  • Exposure to CI/CD practices in an analytics or data engineering context
  • Exposure to Agile delivery methodology
  • Broader exposure to Azure cloud-based data and analytics platforms
  • Proven desire to continuously learn, challenge assumptions, and improve how analytics drives business outcomes

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.

Optum Pune, Maharashtra, IND Office

Pune, India, India

Similar Jobs at Optum

4 Hours Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develops analytical and machine learning solutions using complex healthcare data to identify trends, optimize business outcomes, and support data-driven decisions. Responsibilities include data exploration, feature engineering, model development, stakeholder collaboration, executive storytelling, analytical asset development, and partnership with data engineering teams. The role requires translating ambiguous business problems into actionable insights and quantifying impact across cost, quality, and growth.
Top Skills: AzureDatabricksPower BIPythonSQLTableau
7 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads end-to-end AI/ML solution delivery, including model development, generative AI, LLMs, RAG, APIs, user interfaces, MLOps, LLMOps, monitoring, responsible AI, and production support. Provides architecture leadership, mentors engineers, collaborates with cross-functional stakeholders, and ensures scalable, secure, compliant, and maintainable solutions.
Top Skills: AngularAzureAzure Ai FoundryAzure Machine LearningAzure OpenaiCi/CdDatabricksDockerFastapiFeature StoresFlaskGitGithub ActionsInfrastructure As CodeKubernetesLangchainLarge Language ModelsMicroservicesMlflowModel RegistriesNosql DatabasesNumpyPandasPrompt EngineeringPythonPyTorchReactRest ApisRetrieval-Augmented GenerationScikit-LearnSemantic KernelSemantic SearchSQLTensorFlowVector Databases
7 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop, deploy, and maintain production machine learning solutions, pipelines, APIs, and cloud-native services. Responsibilities include model training, evaluation, feature engineering, MLOps, monitoring, optimization, production support, data integration, and responsible AI governance. The role also explores generative AI, LLMs, RAG, embeddings, semantic search, and agentic AI while collaborating with data engineering and enterprise application teams.
Top Skills: Agentic AiAmazon SagemakerAPIsAzure MlCi/CdCloud PlatformsDatabricksEmbeddingsGenerative AiKafkaKubeflowLarge Language ModelsMlflowMlopsPysparkPythonPyTorchRetrieval-Augmented GenerationSemantic SearchSparkSQLTensorFlowVertex Ai

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account