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MLOps Engineer

Job

Simpliigence

Wood Dale, IL (In Person)

Full-Time

Posted 2 days ago (Updated 49 minutes ago) • Actively hiring

Expires 6/17/2026

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Job Description

MLOps Engineer at Simpliigence MLOps Engineer at Simpliigence in Wood Dale, Illinois Posted in about 1 hour ago.
Type:
full-time
Job Description:
Any visa except H1B Job Title -
MLOps Engineer Location:
Chicago IL - Onsite 2-3 days a week/ no exceptions.
Duration:
12 months Candidates should have industry experience in heavy equipment manufacturing or similar OEM environments in their career Position's Contributions to
Work Group :
The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Caterpillar. Driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models. We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow. The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption. You have ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models.
Education & Experience Required:
Bachelors degree with 5+ years experience Master's degree with 3+ years experience Required Technical Skills (Required)
  • 5+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
  • Experience with MLOps frameworks like MLflow, Kubeflow, etc.
  • Proficiency in programming (Python, R, SQL)
  • Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
  • Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
  • Experience with containerization technologies like Docker and Kubernetes
  • Strong communication and collaboration skills
  • Ability to help work with a team to create User Stories and Tasks out of higher-level requirements.

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