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IMH

AI/ML Engineer Intern

IMH

. Develop AI products that create impact for patients and communities .

Posted 11/12/2026full-timeRemote • Utah • United StatesEntry Level💰 $22 - $32 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI and machine learning solutions, with a strong foundation in statistical modeling techniques and proficiency in programming languages such as Python and SQL. Effective communication skills are essential for collaboration within teams and with stakeholders.

Highest-signal resume keywords
Machine Learning ModelingPython ProgrammingSQL ProgrammingStatistical AnalysisEffective Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningStatistical ModelingProgrammingData ScienceQuantitative Analysis
Soft Skills
Verbal CommunicationWritten CommunicationInterpersonal Skills
Tools & Technologies
SparkMatlabUnified Enterprise Agentic Architecture (UEAA)
Industry Keywords
AI ProductsMLOpsEnterprise AI Center of Enablement

Tech Stack

Tools & technologies
PythonSparkSQL

About the role

Key responsibilities & impact
  • Develop AI products that create impact for patients and communities
  • Develop AI and machine learning solutions as part of the Enterprise AI Center of Enablement
  • Build and deploy machine learning models on the Unified Enterprise Agentic Architecture (UEAA)
  • Partner with MLOps engineers to package, deploy, and monitor agentic and machine learning workloads on UEAA
  • Work Monday-Friday during regular business hours

Requirements

What you’ll need
  • 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
  • Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or another quantitative and technical field (preferred)
  • Ability to work Monday-Friday during regular business hours
  • Potential onsite interviews and meetings
  • Candidates must not reside or plan to reside in California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Virginia, Vermont, or Washington

Benefits

Comp & perks
  • Flexible work options where approved and stated in the job posting
  • Comprehensive benefits package covering programs for wellness, healthy living, security, connection, and engagement
  • Company equipment for remote work (subject to company policies)