AI/ML 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:

• Machine Learning Model Development:
  • Assist in designing and developing machine learning models to address business challenges
  • Perform data preprocessing and feature engineering
  • Support model selection and initial optimization
• Model Deployment and Monitoring:
  • Assist in deploying machine learning models into production environments
  • Monitor model performance and suggest updates and improvements
  • Ensure models are reliable and maintainable
• Data Science and Data Engineering:
  • Conduct exploratory data analysis and visualize data insights
  • Help develop and maintain data pipelines for efficient data processing
  • Work with data engineers to ensure data quality and integrity
• 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:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• 3+ years of experience in AI/ML engineering, data science, or a related role
• Experience in developing and deploying machine learning models
• Experience with natural language processing (NLP) and large language models (LLMs)
• Experience in Data Manipulation and Analysis (e.g., Pandas, NumPy, Matplotlib, Jupyter Notebooks, Databricks, AI Studio)
• Proficiency in data manipulation and analysis using SQL/NoSQL, Pandas, or similar tools/technologies
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment
• Solid problem-solving skills and attention to detail
• Proven good communication skills
• Knowledge of big data technologies (e.g., Hadoop, Spark, Hive, Kafka)
• Solid programming skills in Python, R, Spark/PySpark, Scala, SQL
• Familiarity with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost)
• Basic understanding of data engineering, ETL processes, and data warehousing
• Knowledge of visualization tools (e.g., Tableau, Power BI)

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.