{"id":1674439,"url":"https://alion.io/job/unitedhealth-group-associate-aiml-engineer","title":"Associate 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":82,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Chroma","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-21T10:03:21Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"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:\nHelp design and develop the next generation of NLP, ML & AI products, and services for healthcare\nDevelop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others\nExposure in RAG, LangChain, VectorDBs\nAbility to Quantize, Optimize GenAI models\nManage NLP & ML models lifecycle for a suite of products\nRun large complex proof-of-concepts for the healthcare business\nManage prioritization and technology work for building NLP, ML & AI solutions\nLead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation\nEstablish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome\nWork with a great deal of autonomy to find solutions to complex problems\nDesign and architect scalable ML solutions for complex business problems\nLead Projects: Lead ML projects from conception to deployment, ensuring timely delivery and quality\nMentorship: Mentor junior engineers and provide technical guidance to the team\nResearch and Innovation: Stay updated with the latest research in AI/ML and implement cutting-edge techniques.\nCross-functional Collaboration: Collaborate with cross-functional teams to align ML solutions with business goals\nComply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements\nRequired Qualifications:\nBachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field\n3+ years of experience in AI/ML\nSolid programming skills in Python, with experience in pandas, numpy, and SQL\nExperience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis\nHands-on experience in delivering production-grade AI/ML projectsExposure to RAG modeling using vector databases (e.g., Milvus, Chroma, FAISS)\n\nSolid knowledge of discriminative AI model development and generative AI applications\nFamiliarity with Python frameworks such as Flask API and FastAPIMath behind ML and DL algorithms\n\nProficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch\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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