Develop, test, deploy, and maintain production AI/ML models and systems for consumer-facing healthcare platforms. Build LLM applications, contribute across the AI lifecycle, manage cloud infrastructure using Infrastructure as Code, and improve reusable ML platforms. Collaborate with product and engineering teams, troubleshoot production issues, evaluate emerging technologies, and deliver scalable solutions involving NLP, computer vision, personalization, recommendation systems, and anomaly detection.
Requisition Number: 2392382
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:
Required Qualifications:
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 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:
- Contributes to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms, under the guidance of senior engineers
- Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code
- Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principle
- Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency
- Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions
- Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions
- Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges
- Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments. Contribute to a team culture focused on technical excellence, continuous learning, and curiosity
- Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection
- Builder Responsibilities:
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- 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:
- Bachelor's degree or equivalent experience
- 3+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems
- 3+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly
- LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring)
- Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language
- Technical Breadth: Familiarity and hands-on experience with relevant technologies such as backend services (e.g., Python/Node.js/Java/Go), cloud platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful), CI/CD pipelines, REST/WebSocket API development, and database technologies
Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code - Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity
- Ownership & Drive: Proven self-driven, take immense pride in your technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
- Inherent Curiosity: Proven to possess a solid desire to understand *how* and *why* things work, driving you to build better, more efficient systems
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
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