Machine Learning Operations Engineer - Senior

Job Description:

Employer: IHC Health Services, Inc. (dba Intermountain Health)

Job Title: Machine Learning Operations Engineer - Senior

Degree

Required:

Master’s degree or equivalent foreign education

Academic Discipline(s): Computer Science, Data Science, Information Systems, or Mechanical Engineering

Experience

Required:

2 years of experience

Alternate Occupations Acceptable: Computer Science, Data Science, Information Systems, or Mechanical Engineering

OR

Degree

Required:

Bachelor’s degree or equivalent foreign education

Academic Discipline(s): Computer Science, Data Science, Information Systems, or Mechanical Engineering

Experience

Required:

5 years of post‑degree progressive experience

Alternate Occupations Acceptable: Computer Science, Data Science, Information Systems, or Mechanical Engineering

Job Description:

• Lead the development of machine learning platforms, leveraging model registries, feature stores, and model monitoring.
• Lead the development, implementation, and administration of machine learning systems and pipelines within operational workflows from end‑to‑end.
• Utilize and create custom APIs, functions, libraries, and packages in multiple programming languages.
• Perform advanced programming and code review using statistical and data software tools including Python, R, Java, and Scala.
• Utilize experience with Linux and bash scripting.
• Utilize Dev Ops best practices (continuous integration and continuous deployment) and tools (such as Docker, Kubernetes, and Git).
• Write and tune advanced queries to manipulate and combine large or complex data sets, including unstructured data sources.
• Use Big Data technologies (Hadoop, Spark, Hive, No
  
  SQL, in‑memory data stores) and Cloud technologies (AWS, Azure).
• Foster machine learning partnerships across all levels of the organization through effective communication and relationship management.

Position may telecommute from home within reasonable commuting distance of Salt Lake City, UT for 50% of total workdays.

Minimum Qualifications:

• Knowledge of developing, implementing, and administering machine learning systems and pipelines within operational workflows.
• Knowledge of statistical and machine learning modeling techniques.
• Knowledge of developing in MLOps machine learning platforms.
• Knowledge of Linux and bash scripting.
• Knowledge of Dev Ops best practices (continuous integration and continuous deployment).
• Knowledge of Natural Language Processing (NLP).
• Knowledge of Artificially Intelligent Agents and decision‑making architecture.
• Knowledge of delivering successful AI projects by utilizing deep learning, computer vision and image processing techniques.

Upon hire, all applicants will be subject to drug testing/screening and background checks.

Salary (Annual): $ – $

Work Location: 36 S State St, Suite 2200, Salt Lake City, UT 84111

Hours of Work: Usually 8 a.m. to 5 p.m., Monday through Friday

Location: Key Bank Tower

Work City: Salt Lake City

Work State: Utah

Scheduled Weekly

Hours:

40

There is an hourly range listed, but the hourly rate depends on experience.

Benefits:

We care about your well‑being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here ((Use the "Apply for this Job" box below).).

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, Hired Score to improve your job application experience. Hired Score helps match your skills and experiences to the best jobs for you. While Hired Score assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment.

Thank you for considering a career with us and experiencing our AI‑enhanced recruitment process.

All positions subject to close without notice.