Role OverviewAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups. We're looking for a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production.
What You Will Do
The role combines ML infrastructure, GPU optimization, and deployment across cloud and edge environments. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD.
Why It Might Be a Fit
You will partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions, and manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective.
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
- Competitive compensation
- USD-based pay with education, fitness, and team activity budgets
- Flexible schedule with remote and office options
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
- Exciting projects: Modern solutions with Fortune 500 and top product companies
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