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AI Platform Engineer - Infra​/Ops

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: Mitchell Martin Inc.
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 43.25 - 57.7 USD Hourly USD 43.25 57.70 HOUR
Job Description & How to Apply Below

4 days ago Be among the first 25 applicants

This range is provided by Mitchell Martin Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$43.25/hr - $57.70/hr

Title: AI Platform Engineer - Infra/Ops

Location: Madison, WI (Onsite)

Employment Type: Contract

Compensation: Pay Range: $43.25-$57.70 Per

Description: This role supports the infrastructure for AI and machine learning platforms, ensuring reliability, security, and scalability. Located in Madison, WI, this full‑time position involves implementing cloud infrastructure, automating deployments, and maintaining observability and reliability capabilities. The ideal candidate will work with various teams to ensure efficient AI workloads using generic cloud and infrastructure technologies.

Key Responsibilities
  • Implement and maintain cloud infrastructure for AI/ML workloads, including compute clusters, networking, and storage services.
  • Develop infrastructure‑as‑code modules to standardize environment creation and configuration.
  • Support continuous integration and deployment systems for platform services and machine learning workflows.
  • Integrate observability tools and dashboards to monitor system health, performance, and utilization.
  • Assist in incident response, troubleshooting, and root‑cause analysis for AI platform services.
Qualifications
  • Bachelor's degree in a related field or equivalent work experience.
  • 2‑4 years of experience in cloud engineering, Dev Ops, SRE, or infrastructure‑focused roles.
  • Working knowledge of major cloud services.
  • Hands‑on experience with infrastructure‑as‑code tools.
  • Experience with continuous integration and deployment pipelines and container orchestration.
Core Technologies
  • Cloud Services
  • Infrastructure‑as‑Code Tools
  • Continuous Integration and Deployment
  • Container Orchestration
  • Observability Tools
Contact Information

Ben Porter,

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