Senior Machine Learning Engineer

Required Qualifications:

• Bachelor’s degree in computer science, Machine Learning, Data Science, or a related field
• Total years of experience 5+ years.
• Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost
• Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining
• 3+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks
• 5+ years of experience developing in a cloud environment (AWS, GCS, Azure)
• 3+ years of experience with Github, Actions, CI/CD, and source control
• 4+ years working within an Agile environment
• Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives
• Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions