Role overview

Qualifications

Strong Python programming experience
Hands-on experience with machine learning frameworks
Experience deploying and managing machine learning models in production environments
Strong understanding of MLOps principles and ML lifecycle management

Responsibilities

Transform data science prototypes into scalable, production-grade ML services and pipelines
Ensure reliability of AI systems in production environments
Implement CI/CD pipeline and DevOps automation
Build and manage REST APIs and ML services

Key facts

Remote from: Minnesota (USA)
Full time
ML Ops Engineer
English

Hard skills

Python (Programming Language) TensorFlow PyTorch (Machine Learning Library) Mload Machine Learning Kubernetes CI/CD DevOps TrackWise Continuous Monitoring Data Security Performance Analytics Feature Engineering Test Automation Version Control Debugging Incident Response

Other skills

Troubleshooting (Problem Solving)

About the company

Diverse Lynx

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge

Company size1001 - 5000

Links

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Job description

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:
- TensorFlow
- PyTorch
- 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 DevOps 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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