{"id":1674651,"url":"https://alion.io/job/unitedhealth-group-ai-ml-engineer","title":"AI ML Engineer","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":143,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":74000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":16,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CNN","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-01T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-11-06T08:10:51Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"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.\nPrimary Responsibilities:\nTechnically lead cross-location teams of 5-6 members to drive effective delivery\nDeliver innovative solutions that resolve application issues efficiently\nContribute to architecture discussions and design reviews that strengthen solution quality\nBuild trusted engagement with stakeholders and leadership to align delivery outcomes\nServe as the SME for the assigned functional/application area, enabling informed decisions\nOptimize program logic to improve system performance and reliability\nAssess feasibility for new or expanded systems to support scalable growth\nProvide end-to-end application ownership to ensure accountable and consistent delivery\nDesign, build, and deploy scalable AI-powered solutions that create measurable value\nApply SDLC and Agile expertise to support structured, high-quality delivery\nCommunicate clearly and effectively to influence alignment and execution\nDemonstrate flexibility to support business-critical needs and timelines\nComply 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\nRequired Qualifications:\nBachelors or Master's degree in Computer science , data science , statistics or a related field (Minimum 16 years of formal education, Correspondence courses are not relevant)\nExperience to build and deploy web and AI/ML applications using Python, NumPy, Pandas, PyTorch, TensorFlow, and FastAPI\nExperience to use GenAI frameworks: LangChain, LangGraph, and Pydantic\nExperience to perform exploratory data analysis using standard EDA techniques\nExperience to evaluate models, use cases, errors, and performance metrics\nExperience to apply deep learning algorithms: ANN, CNN, RNN, LSTM, VAE, and GPT\nExperience to implement CI/CD with Jenkins/GitHub, Kubernetes, Terraform, and Azure\nExperience to design agentic architectures using design patterns and MCPs\nExperience to create effective prompts and work with SQL and NoSQL databases\nAt 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. 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