ML Engineer Sr

• Transform data science prototypes to production quality tools
• Ensure that machine learning (ML) models generate accurate results for end users
• Assist with managing ML software and platforms used for computing and model deployment
• Run tests on ML models and interpret the results
• Use those results to improve the models as needed
• Identify changes in data inputs that can affect model performance
• Communicates effectively with both internal and external clients, explaining highly technical methods and processes to audiences of varying technical backgrounds
• Continuously studying and researching new ML tools and technologies
• Participates in evaluation of vendor artificial intelligence solutions, acting as the data science subject matter expert on behalf of the enterprise

• Bachelor’s degree in computer science, data science, mathematics, statistics, or other related field requiring advanced analytics
• 5 years in deploying, monitoring, and iterating upon machine learning models in production
• Strong analytical thinker, able discern business needs
• Advanced proficiency in Python code writing
• Extensive knowledge of ML libraries, frameworks, and data structures
• Proficiency in SQL or other database language
• Experience with version control systems such as Git, and ML packaging solutions such as Docker
• Demonstrated self-directed, results oriented and creative approach to problem identification and solving
• Demonstrated ability to work independently with little supervision

Knowledge of R a plus

• Paid Time Off programs
• Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
• Flexible Spending Accounts for eligible health care and dependent care expenses
• Family benefits such as adoption assistance and paid parental leave
• Defined contribution retirement plans with employer match and other financial wellness programs
• Educational Assistance Program