Optum is seeking to improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best, and the Senior AI/ML Engineer will play a critical role in developing and implementing AI/ML solutions to achieve this goal
Requirements
- Solid programming skills in Python, with experience in pandas, numpy, and SQL
- Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
- Solid understanding of mathematical and statistical concepts
- Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
- Hands-on experience in delivering production-grade AI/ML projects
- Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
- Familiarity with the US Healthcare domain
Responsibilities
- Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL
- Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models
- Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data
- Build, tune, and evaluate machine learning models for predictive and prescriptive analytics
- Conduct drift analysis to monitor model performance and ensure accuracy over time
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
Other
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 8+ years of experience in Data Science, AI/ML, or a similar role
- Proven excellent problem-solving and analytical thinking skills
- Solid communication and collaboration skills to work effectively in a team environment
- Comply with the terms and conditions of the employment contract, company policies and procedures
