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Intermountain Health

Machine Learning Operations (MLOps) Intern

Pierre, SD, United States

$21.81 - $32.21

Apply on usnlx.com About employer

Applications open in a new tab.

Job details

Pay: $21.81 - $32.21
Posting language: English
Posted: Nov 13, 2026

Original job description

Fully Remote

Key Bank Tower

Full time

R188318

Job Description:

Intermountain Health uses industry-leading data science and artificial intelligence to deliver on its mission to "Help people have the healthiest lives possible"; making healthcare more affordable and higher quality; and making a difference in the patients and communities it serves. As a Machine Learning Operations Intern, you will work as a member of the Enterprise AI Center of Enablement to deploy and maintain infrastructure for AI products that will create impact for the communities and patients we serve.

We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Virginia, Vermont, Washington.

Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings

Job Essentials

This role helps develop AI and ML solutions as part of the Enterprise AI Center of Enablement. This is a remote internship. Incumbent will work Monday-Friday, during regular business hours

Job Duties

Build and maintain CI/CD pipelines for machine learning models and AI applications using Git and DevOps best practices.
Deploy and monitor machine learning models on the Unified Enterprise Agentic Architecture (UEAA).
Package models and their dependencies for reproducible deployment (e.g., MLflow, containers, APIs).
Develop and maintain Infrastructure as Code (e.g., Terraform, Declarative Automation Bundles) to provision and manage ML platform resources.
Support model deployment and lifecycle management within UEAA.
Implement monitoring for model performance, data drift and system health, and help troubleshoot production issues.
Optimize SQL queries, Python code and data pipelines for performance, reliability and cost.
Contribute to automated testing and validation of models and pipelines before release.
Collaborate with data scientists, AI engineers and MLOps engineers, and document processes, code and deployment standards.

Skills

Statistical modeling
Machine learning techniques
Python programming
Effective communication
Team collaboration

Minimum Qualifications:

Understanding of statistical and machine learning modeling techniques
Experience programming using quantitative, procedural, and statistical programming languages such as Python, SQL, Spark, and Matlab.
Experience in a role requiring effective verbal, written and interpersonal communication skills.

Preferred Qualifications:

Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or other quantitative and technical field.
Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or other quantitative and technical field
Experience with Git, DevOps and CI/CD
Experience with MLOps platform development and Infrastructure as Code (IaC)
Code optimization experience (i.e., SQL query tuning, Python optimization, etc.)

Location:

Key Bank Tower

Work City:

Salt Lake City

Work State:

Utah

Scheduled Weekly Hours:

The hourly range for this position is listed below. Actual hourly rate dependent upon experience.

$21.81 - $32.21

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 (https://intermountainhealthcare.org/careers/benefits) .

By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment. I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain. Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment.

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, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore 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.

Headquartered in Utah with locations in six primary states and additional operations across the western U.S., Intermountain Health is a nonprofit system of 34 hospitals, 400+ clinics, a medical group of more than 4,800 employed physicians and advanced care providers, a health plan division called Select Health with more than one million members, and other health services. Helping people live the healthiest lives possible, Intermountain is widely recognized as a leader in clinical quality improvement and efficient healthcare delivery.

Join our world-class team and embark on a career filled with opportunities, strength, innovation, and fulfillment.

To find out more about us, head to our career site here (https://intermountainhealthcare.org/careers/?utm_source=Workday&utm_medium=Redirect&utm_campaign=CareerHome_workday) .

Sign up for job alerts! Click ‘sign in’ at the top right corner, create a candidate account, and when we have opportunities that meet your interests, you will receive an email with the job details.

Intermountain Health strives to make the application process accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact 1-800-843-7820 or email recruitment@imail.org . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Introduce yourself to our Talent Acquisition team and we will get in touch if there is a role that seems like a good match.

Intermountain Health’s PEAK program supports caregivers in the pursuit of their education goals and career aspirations by providing up-front tuition coverage paid directly to the academic institution. The program offers 100+ learning options to choose from, including undergraduate studies, high school diplomas, and professional skills and certificates. Caregivers are eligible to participate in PEAK on day 1 of employment. Learn more. (https://intermountainhealthcare.org/careers/working-for-intermountain/employee-benefits/peak-program/)

The primary intent of this job description is to set a fair and equitable rate of pay for this classification. Only those key duties necessary for proper job evaluation and/or labor market analysis have been included. Other duties may be assigned by the supervisor.

All positions subject to close without notice.

Thanks for your interest in continuing your career with our team!

Apply on usnlx.com About employer

More about this job

Skills

Machine learning
Microsoft Teams
ML
Mlflow
Infrastructure as code
IBM Terraform
Troubleshoot
SQL
Python
Test automation
Communication skills
Collaboration
Programming languages
Apache Spark
Computer science
Git
DevOps
CI/CD
Market analysis

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Work requirements

Jobs in the United States