MLOps Engineer/Architect
Helsinki, Uusimaa, Finland
EUR 62K-78K (estimate) Senior-level Full Time
Tasks
- Build ML platforms
- Build feature engineering pipelines
- Convert PoC applications to production systems
- Deploy ML platforms on cloud
- Deploy and manage containers with Kubernetes
- Implement infrastructure-as-code
- Improve ML system performance and security
- Monitor ML models and automate updates
- Optimize ML costs
- Set up CI CD pipelines for ML workflows
- Support ML engineers with model deployment
Perks/Benefits
- Conference and event participation
- Equipment reimbursement for home office and tools
- Flexible work hours
- Open source work time
- Paid time off
- Professional development time
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | Azure Machine Learning | CI/CD | Data Governance | Distributed Training | Docker | Feature Engineering | GCP | GitHub Actions | Jenkins | Kubeflow | Kubernetes | Machine Learning | Ray | Terraform | Vertex AI
Education
N/A
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