Associate AI/ML Engineer

Learn more about applying for Associate AI/ML Engineer at UnitedHealth Group Associate AI/ML Engineer at UnitedHealth Group Skip to main content The UnitedHealth Group Careers website will be undergoing planned maintenance. 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Connecting. Growing together. With these values to guide us, our people are committed to making a meaningful difference in the lives of those we are honored to serve. Integrity Compassion Inclusion Relationships Innovation Performance Associate AI/ML Engineer Requisition number: 2394709 Job category: Technology Primary location: Bengaluru, India Additional locations: India Date posted: 10/08/2026 Overtime status: Exempt Travel: No Share this job Facebook X LinkedIn Email Description - External 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. We're looking for a hands-on AI/ML Engineer to design, develop, deploy, and support machine learning solutions that drive business outcomes and intelligent decision-making. This role focuses on building scalable AI/ML capabilities, operationalizing models, and supporting the end-to-end machine learning lifecycle. The ideal candidate possesses solid machine learning engineering fundamentals, software engineering skills, and experience working with modern AI platforms. You will partner with data scientists, senior AI engineers, data engineers, and platform teams to develop, deploy, monitor, and continuously improve AI solutions in production environments. Primary Responsibilities: Machine Learning Development Design, develop, train, evaluate, and deploy machine learning models supporting: Predictive analytics Forecasting Recommendation systems Classification and regression Anomaly detection Translate business requirements into scalable AI/ML solutions Apply machine learning, statistical modeling, and data science techniques to solve business problems Perform exploratory data analysis (EDA), feature engineering, data preparation, and model experimentation Work with structured, semi-structured, and unstructured datasets AI/ML Engineering & Model Lifecycle Build and maintain machine learning pipelines supporting: Data ingestion Feature engineering Model training Model validation Model deployment Monitoring and retraining Implement model evaluation, benchmarking, and performance measurement processes Support model optimization and hyperparameter tuning activities Contribute to repeatable and scalable AI engineering practices MLOps & Production Deployment Deploy machine learning models using APIs, containerized services, and cloud-native platforms Contribute to reusable AI components, frameworks, and engineering assets Monitoring & Operational Excellence Monitor deployed models for: Accuracy Drift Latency Reliability Operational health Support implementation of observability capabilities including monitoring, logging, alerting, and performance reporting Participate in troubleshooting, root cause analysis, and production support activities Help ensure AI solutions meet enterprise standards for reliability and operational excellence Data Engineering & AI Integration Collaborate with data engineering teams to develop scalable data pipelines and feature engineering workflows Integrate AI and machine learning capabilities into enterprise applications, APIs, and business processes Support development of reusable features and AI services for enterprise consumption Responsible AI & Governance Follow Responsible AI practices related to explainability, fairness, transparency, and governance Support model validation, auditability, and compliance activities Adhere to organizational security, privacy, and governance standards Emerging AI Technologies Explore emerging AI, Generative AI, and Agentic AI technologies and contribute to innovation initiatives Support implementation of AI capabilities including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embeddings Semantic Search Contribute to engineering best practices and continuous improvement initiatives 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 degree in computer science, Data Science, Engineering, Mathematics, Statistics, Artificial Intelligence, or related field 5+ years of experience in Machine Learning, Artificial Intelligence, Data Science, Software Engineering, or related disciplines Experience developing and deploying machine learning solutions in enterprise or cloud environments Experience building machine learning pipelines and production-ready AI solutions Experience working with APIs, cloud-based AI services, and distributed data platforms Experience integrating AI/ML solutions into business applications and workflows Solid understanding of: Machine Learning Statistical Modeling Predictive Analytics Model Evaluation Feature Engineering Familiarity with MLOps practices including model deployment, monitoring, experiment tracking, and lifecycle management Knowledge of model monitoring, performance evaluation, and production support processes Understanding of Responsible AI, model governance, and compliance requirements Proven solid programming skills in Python and SQL Proven solid analytical, problem-solving, communication, and collaboration skills Preferred Qualifications: Experience deploying machine learning solutions using Azure ML, SageMaker, Vertex AI, MLflow, Kubeflow, or similar platforms Experience with distributed data processing technologies including Spark, Databricks, PySpark, Kafka, or modern data engineering platforms Experience developing machine learning and deep learning solutions using TensorFlow, PyTorch, or equivalent frameworks Experience with Generative AI technologies including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embeddings Semantic Search Agentic AI concepts Experience integrating AI services and model APIs into enterprise applications Experience contributing to reusable AI frameworks, engineering accelerators, or platform capabilities Experience working within healthcare, financial services, insurance, or other regulated industries Familiarity with NLP, recommendation systems, forecasting, anomaly detection, or intelligent automation solutions Familiarity with model monitoring, observability, and operational analytics practices Understanding of Responsible AI, model risk management, and governance frameworks Proven contributions to AI innovation initiatives, open-source projects, technical publications, or enterprise transformation efforts 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. Apply Internal apply Bookmark job Benefits Our mission of helping people live healthier lives extends to our team members. Learn more about our range of benefits designed to help you live well. Life Resources and support to focus on what matters most to you, in every facet of your life. Emotional Education, tools and resources to help you reduce and manage stress, build resilience and more. Physical Health plans and other coverage to support wellness for you and your loved ones. Financial Benefits for today and to help you plan for the future, including your retirement. Learn more Since joining Optum, my professional growth has been significant. The dynamic environment has enhanced my problem-solving abilities, and the company’s commitment to innovation and continuous learning motivates me to stay. Optum provides continuous training, mentorship, and a clear path for advancement, all while supporting a healthy work-life balance. Anurag J. Senior Software Engineering Manager We’re honored to be recognized for our exceptional work culture Discover our family of businesses See how we’re structured to help build a modern, high-performing health system. Learn more Explore our hiring process Learn what to expect when you pursue an opportunity with us. Learn more How we’re transforming care Find out how we’re making care smarter and more personalized. Learn more Connect with us Facebook Instagram YouTube LinkedIn Do not sell or share my personal information Social responsibility Fraudulent activity Cookie management Site map Privacy Policy Family & Medical Leave Act (PDF) Equal Employment Law Poster (PDF) SMS Terms & Conditions (PDF) Employee Polygraph Protection Act (PDF) E-Verify Participation Poster (PDF) Pay Transparency Nondiscrimination Provision (PDF) Immigrant and Employee Right to Work Poster (PDF) Health Plan Notices (PDF) County of LA Fair Chance Ordinance (PDF) © 2026 UnitedHealth Group. All rights reserved. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. × Fraudulent Activity Notice We have received recent reports of fraudulent LinkedIn messages and emails alleging or claiming to be sent from UnitedHealth Group, UnitedHealthcare, or Optum Executives. The fraudulent LinkedIn messages and emails, which do not originate from any Executives LinkedIn account or of UnitedHealth Group’s email domains, or those of any of its operating divisions, supposedly conducts an interview via a Zoom meeting, offers a work from home job at Optum, emails an application, sends a fake check by next day delivery through USPS and asks recipients to pay a vendor a large dollar amount. These counterfeit-check cashing schemes exist and use a variety of deceptions to get people to cash these fraudulent checks. UnitedHealth Group will never request you to pay a vendor or pay a fee of any sort to explore employment opportunities with our company. If you wish to verify the legitimacy of any email alleging or claiming to have been sent by or on behalf of UnitedHealth Group Executives or Recruiters, please call 1-800-561-0861 between 7 a.m. and 7 p.m. CT, Monday – Friday, for assistance. × Our Commitment to Communities At UnitedHealth Group, we are committed to giving back to the communities where we live and work, across the nation and around the world. Through charitable contributions and volunteering, our people are deeply and personally involved in building healthier communities. Learn how we are giving back to our communities