Role OverviewWe are looking for a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. The role combines ML infrastructure, GPU optimization, and deployment across cloud and edge environments.
What You Will Do
End-to-End Deployment, Infrastructure & Pipelines, System Stability & Monitoring, Model Lifecycle Management, Cross-Functional Collaboration, Resource & Cost Optimization, Edge & Cloud Deployment
Why It Might Be a Fit
Must have hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring. Strong hands-on experience in CV pipelines, including training computer vision models on GPUs, dataset management, and infrastructure monitoring specific to CV model quality/drift.
Requirements
- Authorized to work for ANY employer in the US
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering
- Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience)
- Upper-intermediate English level
Benefits
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets
- Exciting projects: Modern solutions with Fortune 500 and top product companies
- Flextime: Flexible schedule with remote and office options
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