Senior MLOps Engineer (m/w/d)
Frankfurt, München, Berlin, Essen, Hybrid
R
EUR 60K-70K (estimate) Mid-level Full Time Found 11d ago
Tasks
- Deploy and manage ML models
- Design solutions and architecture
- Develop and automate CI/CD pipelines
- Develop and present solutions
- Document and maintain systems
- Ensure deployment success and platform management
- Establish best practices
- Implement ML-platforms
- Maintain and extend Data Science workflows
- Mentor team members
- Monitor and alert systems
- Operate and optimize ML models
- Plan develop and test pipelines
- Summarize client MLOps requirements
- Utilize automation, monitoring, scalability tools
Perks/Benefits
- Bike leasing
- Buddy program
- Coaching
- Competitive pay
- Dog-friendly offices
- Employee discounts
- Employee surveys
- Fitness
- Flexible work hours
- Free beverages
- Hybrid work model
- Leadership tracks
- Meditation
- Mental health support
- Merchandise shop
- Onboarding program
- Open feedback culture
- Personal development plan
- Rooftop terrace
- Sports groups
- Team events
- Team workshops
- Variable bonuses
- Well Pass
- Workation
- Workshop offerings
- Yogarooms
Skills/Tech-stack
AWS | Airflow | Alerting | Automation | Azure | CI/CD | Data Infrastructure | Data lifecycle | Docker | Incident Management | Kubeflow | Kubernetes | MLflow | Machine Learning | Machine learning lifecycle | Monitoring | Python | Scalability | Terraform
Roles
Regions
Countries
States
Language: de |
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