Senior Software Engineer

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.

Primary Responsibilities:

• Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges
• Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions
• Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis
• Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation
• Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects
• Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement
• Communicate findings and recommendations by interreacting with stakeholders to build requirements and track progress
• Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience
• 4+ years of experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras
• 3+ years of experience with software engineering using Java, .net, python or any backend and frontend languages
• 3+ years of experience in Deploying and operationalizing MLOps
• 3+ years – Azure Databricks, Azure Data Factory, SQL Server/NOSQL Databases
• Experience in leading and mentoring technical teams
• Knowledge of Model evaluation and explainability
• Knowledge of Model training and automated retraining
• Proven track record of successfully delivering AI/ML projects from conception to deployment

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.