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
Requirements:
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
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.
