Senior ML Engineer
Advocate Aurora Health
full-time
Posted on:
Location Type: Remote
Location: Remote • Alabama, Alaska, Arizona, Florida, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United States
Visit company websiteSalary
💰 $58 - $87 per hour
Job Level
Senior
Tech Stack
DockerPythonSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningPythonRSQLML librariesML frameworksdata structuresversion controlGitDocker
Soft skills
analytical thinkingcommunicationproblem solvingself-directedresults orientedindependent work
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in data scienceBachelor’s degree in mathematicsBachelor’s degree in statistics