Staff MLOps Engineer (AI/ML Platform)
CZK 1440K-1715K (estimate) Senior-level Full Time
Tasks
- Assess machine learning pipeline
- Build model registry
- Build shared AI and ML platform
- Coach engineering best practices
- Create Grafana dashboards
- Create Prometheus metrics and alerts
- Drive AI tooling adoption
- Implement model serving APIs
- Mentor AI and ML engineers
- Optimize ML cost and performance
- Oversee full ML lifecycle
- Own ML training infrastructure
- Run batch scoring jobs
- Set up ML monitoring and drift detection
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Amazon EKS | Annotation Workflows | Apache Spark | Batch Scoring | Data Drift | Databricks | Experiment tracking | Feature Stores | GCP | Grafana | Java | Kubernetes | Low Latency | Low Latency APIs | ML observability | MLOps | Machine Learning | Model Drift | Model Registry | Model Serving | Prometheus | Python | RFC | Scala | Spring | Terraform | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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