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AI Ops Engineer

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below
Job Title: AI Ops Engineer
Location: Eden Prairie, MN / Remote
Job Type: Full-Time
Salary Range: $100,000 - $120,000 per year

Role Summary
The AI Ops Engineer will play a critical role in operationalizing machine learning solutions by transforming data science prototypes into scalable, production-grade ML services and pipelines. This position focuses on MLOps, model deployment, lifecycle management, monitoring, automation, and ensuring reliability of AI systems in production environments.
The ideal candidate will possess strong software engineering skills, hands-on experience with machine learning frameworks, cloud-native technologies, and a deep understanding of ML system design and operational best practices.
Must Have Technical/Functional Skills
  • Strong Python programming experience.
  • Hands-on experience with machine learning frameworks:
    • Tensor Flow
    • Py Torch
    • Scikit-Learn
  • Experience deploying and managing machine learning models in production environments.
  • Strong understanding of MLOps principles and ML lifecycle management.
  • Experience with:
    • Docker
    • Kubernetes
    • Containerized applications
  • Experience building and managing REST APIs and ML services.
  • Expertise in CI/CD pipeline implementation and Dev Ops automation.
  • Experience with:
    • Model Tracking
    • Model Registry
    • Deployment Automation
    • Monitoring & Observability
  • Knowledge of ML system design concepts:
    • Data Leakage Prevention
    • Training-Serving Skew
    • Model Drift Detection
    • Performance Monitoring
  • Experience working with feature pipelines and large-scale data processing systems.
  • Strong troubleshooting, debugging, and incident response capabilities.
  • Experience implementing automated testing and version-controlled ML workflows.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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