ML Engineer Sr
About The Position
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.
- 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.
Nice To Haves
- Knowledge of R a plus.
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.
Benefits
- Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including:
- Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training
- Premium pay such as shift, on call, and more based on a teammate's job
- Incentive pay for select positions
- Opportunity for annual increases based on performance
- Benefits and more 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
