Title: Lead AI/ML Applied Scientist - Remote Location: Eden Prairie United States Requisition number: 2365521 Job category: Technology Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No Job Description: Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Develop novel AI approaches for healthcare using both structured and unstructured data - Build and test deep learning and traditional ML models in distributed computing environments - Design and plan experiments, conduct statistical analysis and create data visualizations - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards - Develop code and model documentation, patents and publications in scientific conferences and journals - Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions - Stay up to date with latest technologies and literature You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - MS in computer science or related quantitative field and 5+ years of industry/academic experience in AI/ML or a related field OR a PhD and 2+ years of experience - 5+ years of AI/ML experience - 5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow Preferred Qualifications: - Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification - Experience with distributed computing approaches such as Spark - Experience with Snowflake and other relational databases - Experience working on collaborative software projects using GitHub - Proven solid technical communication skills - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. 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.

Role Description Wir von Nachhilfeunterricht suchen qualifizierte private Lehrkräfte, die unser Team von professionellen Nachhilfelehrern verstärken und unsere Schüler:innen in allen Phasen ihrer Ausbildung unterstützen. - Teile dein Wissen mit Schüler:innen und Studierenden aus ganz Deutschland - Wähle die Methodik, die du für deinen Unterricht verwenden wirst und gestalte den Unterricht nach deinen Vorstellungen und denen deiner Schüler:innen Qualifications - Sehr gute Englischkenntnisse - Spaß am Unterrichten - Keine vorherige Lehrerfahrung erforderlich Benefits - Flexible Arbeitszeiten - Arbeit überall in Deutschland - Möglichkeit, online zu arbeiten - Vergütung zwischen 15 und 35 Euro pro Stunde Company Description Wir sind eines der führenden Nachhilfe- und Lehrportale in Europa. Unsere Nachhilfelehrer unterstützen Schüler in verschiedenen Schulfächern, Sprachen, technischen und künstlerischen Disziplinen. Die Plattform ermöglicht es Lehrern, Anzeigen für Nachhilfe oder Nachhilfeunterricht hochzuladen und so Schüler und zertifizierte Nachhilfelehrer zusammenzubringen. Nachhilfeunterricht ist das führende Nachhilfeportal in Spanien, Frankreich, Italien und Lateinamerika und hat seit 2007 mehr als 3 Millionen Schülern geholfen, ihren idealen Lehrer zu finden. Und jetzt auch in Deutschland als Teil der führenden Nachhilfeplattform Gostudent. Über 3 Mio. Schüler lernen bereits bei uns. Unser Ziel ist es, Millionen von Lehrern mit Schülern zusammenzubringen, um neues Wissen in Hunderten von verschiedenen Fächern zu lehren und zu erlernen, mit Online- oder Präsenzunterricht, überall auf der Welt. Gib Nachhilfe für alle Schüler, die Hilfe in ihrem Schulalltag benötigen.

• Architect scalable GenAI systems across content generation, business intelligence, recommendations, automation, and agentic workflows • Design multi-LLM and multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel • Lead the design and development of agentic AI systems that can reason, use tools, call APIs, manage state, and complete multi-step tasks • Design and improve RAG pipelines using vector databases, embeddings, chunking strategies, metadata, reranking, and retrieval evaluation • Define AI quality evaluation frameworks for generated content, summaries, recommendations, and agent outputs • Work with engineering and platform teams to ensure AI systems are deployable, observable, and maintainable in production • Mentor GenAI engineers and guide technical decision-making across AI initiatives

• Desenvolver e implementar soluções de **IA Agêntica**, utilizando arquiteturas baseadas em agentes inteligentes, sistemas multiagentes e modelos de linguagem avançados. • Projetar agentes autônomos capazes de: - Planejar e executar tarefas complexas; - Utilizar ferramentas externas (tool calling); - Consumir APIs e integrar diferentes sistemas corporativos; - Tomar decisões baseadas em contexto e objetivos definidos. • Construir assistentes inteligentes e agentes especializados para: - Utilização de diferentes estratégias de RAG (Retrieval-Augmented Generation). - Automação de processos; - Apoio à tomada de decisão; - Geração de insights e conteúdo; - Atendimento e interação conversacional. • Projetar e implementar pipelines avançados de GenAI incluindo: - Diferentes estratégias de **RAG (Retrieval-Augmented Generation)**; - Integração com bases de conhecimento estruturadas e não estruturadas; - Estratégias de memória contextual e gerenciamento de histórico; - Uso de bases vetoriais e grafos de conhecimento. • Trabalhar com frameworks modernos para desenvolvimento de agentes inteligentes como: - LangChain; - LangGraph; - CrewAI; - AutoGen; - Semantic Kernel; - Outros frameworks emergentes. • Desenvolver e implementar práticas de **LLMOps/AgentOps**, incluindo: - Monitoramento; - Avaliação; - Observabilidade; - Versionamento; - Rastreabilidade; - Governança de modelos e agentes. • Prototipar aplicações em Python integradas a serviços de IA, automações e ecossistemas cloud. • Pesquisar e explorar novas arquiteturas, técnicas e tendências relacionadas à IA Agêntica e modelos multimodais. • Colaborar com cientistas de dados, engenheiros de dados, desenvolvedores e stakeholders em squads multidisciplinares. • Documentar soluções, padrões e aprendizados, contribuindo para a evolução técnica do time.