Senior Consultant MLOps Engineering (m/w/d)
Bonn oder freie Arbeitsplatzwahl
EUR 65K-85K (estimate) Mid-level Full Time
Tasks
- Automate ML workflows and deployments
- Design and develop MLOps infrastructure
- Develop monitoring and logging solutions
- Ensure security and compliance in DevSecOps processes
- Evaluate new MLOps and DevOps technologies
- Implement CI/CD pipelines and GitOps practices
- Integrate and operate MLOps tools
- Support Data Science teams in deploying ML models
Perks/Benefits
- Flexible working hours
- Health and wellness programs
- Remote work options
- Team events
- Training and certification programs
Skills/Tech-stack
AWS | Ansible | Argo CD | Automation | Azure | Azure ML | CI/CD | Containerization | Docker | ELK Stack | GCP | GitHub Actions | GitLab CI | GitLab CI/CD | Google Cloud | Grafana | Helm | Infrastructure as Code | Jenkins | Kubeflow | Kubernetes | MLflow | Network Security | Prometheus | Python | SageMaker | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Cloud Engineer | Cloud) | Engineer | MLOps Engineer | Software Engineer
Regions
Countries
States
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