Senior MLOps Engineer
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
About This Role
Requirements
- Design, build, and maintain production ML pipelines and infrastructure
- Manage model versioning, deployment, and monitoring systems in cloud environments
- Implement CI/CD workflows for ML model training, validation, and serving
- Work with containerization (Docker, Kubernetes) and orchestration tools
- Collaborate with data scientists to productionize models and optimize performance
- Establish monitoring, logging, and alerting for ML systems in production
- Write clean, scalable Python code and infrastructure-as-code (Terraform/CloudFormation)
Required Skills
Pre-screened Candidates
0No candidates available for review yet.
All profiles are anonymized for fair evaluation
Similar Positions
Candidates may also fit these roles
MLOps Engineer
1 matchedRemote
We're hiring an MLOps Engineer to build and scale machine learning infrastructure for our AI-first recruiting platform. You'll own the ML pipeline architecture,…
Platform Engineer
18 matchedAustin, TX
About the Role We're looking for an experienced platform engineer to architect and own the infrastructure foundations that power our engineering organization. …
MLOps Engineer
12 matchedBoston, MA
About the Role You will own the complete ML lifecycle infrastructure that bridges research and production at scale. This is a systems-ownership role where you'…
Cloud Infrastructure Engineer
2 matchedDenver, CO
About the Role You'll design and maintain the production infrastructure that powers our platform at scale. As a core member of our infrastructure team, you'll …
