Sr Software Engineer - Hybrid (MN)

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.

UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care - making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences to our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology.

If you are located in Minnesota, you will have the flexibility to work from home and in the office in this hybrid role* as you take on some tough challenges.

Primary Responsibilities:

• Design and Implement AI/ML Solutions: Develop and deploy machine learning models and AI solutions using Azure services. This includes designing algorithms, building models, and ensuring they meet business requirements
• Data Management: Handle data preprocessing, cleaning, and transformation to prepare it for model training. This involves working with large datasets and ensuring data quality
• Model Training and Evaluation: Train machine learning models, perform hyperparameter tuning, and evaluate model performance using various metrics. Ensure models are optimized for accuracy and efficiency
• Integration and Deployment: Integrate AI/ML models into existing systems and deploy them using Azure Machine Learning services. Implement CI/CD pipelines for continuous integration and deployment
• Collaboration: Work closely with data scientists, data engineers, and other stakeholders to understand business problems and translate them into technical solutions. Collaborate on projects to ensure successful implementation
• Monitoring and Maintenance: Monitor the performance of deployed models and systems, troubleshoot issues, and make necessary updates to improve performance and reliability
• Documentation and Reporting: Document the development process, model specifications, and performance metrics. Provide regular reports to stakeholders on project progress and outcomes
• Stay Updated with Trends: Keep up-to-date with the latest advancements in AI/ML and Azure technologies. Continuously learn and apply new techniques and tools to improve solutions
• Mentorship: Mentor junior developers and provide guidance on best practices in AI/ML development and Azure services

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:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field or at least 3+ years of equivalent experience
• 3+ years of experience in developing AI and ML algorithms or technologies
• 3+ years of experience in programming languages (proficiency in languages such as Python, Java, Scala, or Go)
• 3+ years of experience in Azure Service (experience with Azure AI services, Azure Machine Learning, and other related Azure tools)
• 2+ years of experience working with cloud computing technologies, particularly Azure
• Experience in AI/ML techniques; understanding of machine learning algorithms, deep learning frameworks, and AI model deployment
• Legally authorized to work in the US without any restrictions. Proof will be required

Preferred Qualifications:

• Master's degree or Ph.D. in AI, Machine Learning, or a specialized area within these fields
• Microsoft certified: Azure AI Engineer Associate
• Other relevant certifications including additional certifications in AI, ML, or cloud computing can be beneficial
• Proven solid analytical and problem-solving skills to tackle complex AI/ML challenges
• Ability to work effectively with cross-functional teams, including data scientists, engineers, and business stakeholders
• Communication skills to articulate technical concepts to non-technical stakeholders

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.