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    Lead AI or ML Engineer - Minneapolis, United States - Optum

    Optum
    Optum Minneapolis, United States

    2 weeks ago

    Optum background
    Regular, Full time
    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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

    Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise.

    You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

    Primary Responsibilities:

    • Develop and implement AI and machine learning strategies to drive healthcare solutions. Design plan and prioritize experimentation of machine learning and deep learning models
    • Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches.
    • Build robust machine learning pipelines to support production processes
    • Stay up-to-date with latest AI/ML technologies and literature recommending solutions to improve business goals
    • Implement and design novel machine learning and deep learning approaches inspired by relevant literature
    • Collaborate with cross-functional teams to determine applicability of AI to business problems
    • Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards. Develop code and documentation to assist with model governance
    • Clearly document and following best coding practices with R, Python, etc. along with the use of GitHub
    • Create and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders

    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:

    • Advanced degree in Computer Science, Mathematics, Statistics, or related field
    • PhD (with 2+ years of experience in AI/ML solutions delivery role) or Masters with 5+ years in AI/ML solutions delivery role
    • Experience in Large Language Modeling and Transformer Architectures (BERT, GPT, etc.)
    • Proficiency in AI/ML engineering systems with Python

    Preferred Qualifications:

    • Demonstrated experience leading and implementing AI/ML projects from ideation to evaluation, delivery, and monitoring
    • Working knowledge of Software Development tools and practices including Git, etc.
    • Proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases
    • Demonstrated superior written and verbal presentation skills with a wide range of audiences
    • Experience working with healthcare data (claims, EHR, clinician notes, etc.)
    • Experience implementing AI solutions in a healthcare setting

    *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

    California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Rhode Island, or Washington Residents Only: The salary range for this role is $104,700 to $190,400 annually. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers 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 UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives.

    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.

    Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

    UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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