Dev Ops / ML Ops Leader
Tasks
- Adopt infrastructure as code and platform engineering best practices
- Architect and govern industrial DevOps and MLOps platforms
- Build CI CD pipelines with automated testing
- Communicate technical strategy and tradeoffs to leadership
- Conduct global hiring onboarding and performance management
- Define and execute global DevOps and MLOps strategy
- Deploy across on premises cloud hybrid and edge environments
- Embed security quality and reliability in DevOps and MLOps pipelines
- Ensure cybersecurity and data governance compliance
- Ensure model explainability traceability and lifecycle management
- Implement secure ML training deployment monitoring and retraining pipelines
- Improve developer and data scientist productivity with new tools
- Lead and develop globally distributed DevOps and MLOps teams
- Partner with R and D engineering data science and enterprise architecture stakeholders
- Standardize ML workflows and model governance
- Translate business and technical requirements into platform solutions
Perks/Benefits
- Commuter benefits
- Flexible remote work
- Group Mutual Insurance
- Health insurance
- Holiday vouchers
- Meal vouchers
- Performance related incentive plan
- Relocation assistance no
- Training opportunities
- Works Council
Skills/Tech-stack
ARM | AWS | Agile | Agile Framework | Amazon SageMaker | Automation | Azure | Azure Machine Learning | By Design | CI/CD | CloudFormation | Cybersecurity | Data Governance | DevOps | Docker | GCP | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Explainability | Model Governance | Observability | Scaled Agile | Scaled Agile Framework | Secure by Design | Terraform | Test automation | “as-code”
Education
Roles
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