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
If you have 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering, and a degree in Computer Science, Software Engineering, or a related technical discipline, you might be a fit for this role.
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
- Upper-intermediate English level
Benefits
- Professional growth
- Competitive compensation
- Exciting projects
- Flextime
]]>