Senior ML Engineer

Posted 9ds ago

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Job Description

Senior ML Engineer developing machine learning models for healthcare, ensuring accuracy and performance results. Collaborating with technical teams and researching new ML technologies.

Responsibilities:

  • 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

Requirements:

  • 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
  • Knowledge of R a plus
  • 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

Benefits:

  • 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

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