MLOps Engineer (H/F)
Tasks
- Automate retraining pipelines
- Build and store datasets
- Deploy models to production
- Enable model observability
- Evaluate and package models
- Evolve MLOps platform components
- Implement model serving
- Improve dataset ingestion pipelines
- Manage multi GPU workloads
- Profile and benchmark models
- Propose platform stack improvements
- Set up model monitoring
- Support client model deployments
- Train machine learning models
Perks/Benefits
- Health insurance
- Meal card
- Paid leave
- Sport access
- Telework
- Training opportunities
- Transport reimbursement
- Wellness benefits
Skills/Tech-stack
Benchmarking | Data Engineering | Data Pipelines | Databases | Deep learning | Docker | Kubernetes | Machine Learning | Model Serving | Monitoring | Multi-GPU | Observability | Profiling | Python
Education
N/A
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