Staff MLOps Engineer (AI/ML Platform)
Remote, Remote, Germany
R
EUR 56K-78K (estimate) Senior-level Full Time
Tasks
- Audit ML training and serving pipelines
- Build Grafana dashboards
- Build batch scoring jobs
- Build model serving APIs
- Build shared AI ML platform
- Create accuracy regression monitoring
- Deploy ML workloads on Kubernetes
- Implement caching
- Implement data ingestion and feature processing
- Implement experiment tracking
- Implement model registry
- Lead AI Tooling Adoption
- Manage annotation workflows
- Manage full ML lifecycle
- Mentor MLOps and infrastructure engineers
- Monitor data drift and model drift
- Optimize ML cost and performance
- Set alerts for model issues
- Set up training infrastructure
- Use Prometheus metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS EKS | Apache Spark | Batch Scoring | Caching | Data Drift | Databricks | Experiment tracking | Feature Store | GCP | Grafana | Java | Java Spring | Kubernetes | Low Latency | Low Latency APIs | ML observability | MLflow | Model Drift | Model Registry | Model Serving | Prometheus | Python | Scala | Terraform | Unity Catalog
Education
N/A
Roles
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