Dev Ops / ML Ops Leader
Tasks
- Architect and govern industrial platforms
- Build secure and scalable ML pipelines
- Communicate technical strategies effectively
- Define and execute DevOps and MLops strategies
- Design CI/CD and CI/CT pipelines
- Ensure platform compliance with cybersecurity and data privacy standards
- Establish technical roles and career paths
- Foster engineering excellence and safety
- Integrate security and quality into pipelines
- Lead global DevOps and MLops teams
- Manage AI/ML model lifecycle
- Partner with R&D and engineering leadership
- Standardize ML workflows and governance
- Support deployment in cloud and edge environments
- Translate complex requirements into platform solutions
Perks/Benefits
- Company events
- Flexible remote work
- Group insurance
- Meal vouchers
- Participation in transportation
- Profit sharing
- Training programs
Skills/Tech-stack
AWS | Agile | Agile Framework | Automation | Azure | Azure ML | CI/CD | Cloud Platforms | Cybersecurity | DevOps | Docker | GCP | Infrastructure as Code | Kubeflow | Kubernetes | Lifecycle Management | MLOps | MLflow | Model Lifecycle | Model Lifecycle Management | NPI | SageMaker | Scaled Agile | Scaled Agile Framework | Security | Terraform | “as-code”
Education
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