MLOps Engineer - Data Ingestion (x/f/m)
Tasks
- Automate infrastructure provisioning
- Build ML model pipelines in production
- Build secure data export services
- Deploy ML models
- Detect security threats
- Ensure data quality
- Evaluate ML models
- Implement data pseudonymization
- Manage golden datasets
- Mentor team MLOps best practices
- Monitor ML pipelines
- Monitor platform reliability
- Orchestrate ML workflows
- Troubleshoot data and ML issues
Perks/Benefits
- Coaching services
- Creative Class Subsidy
- Disability support
- Health insurance
- Lunch vouchers
- Mental health support
- Paid vacation
- Parental leave extension
- Public transport reimbursement
- Relocation support
- Sport club subsidy
- Training access
- Work from abroad
Skills/Tech-stack
AWS | Azure | Batch Processing | Braintrust | Cloud infrastructure | Data Security | Data anonymization | Data pseudonymization | Docker | GCP | GDPR | Golden datasets | Inference Pipelines | Infrastructure as Code | Kubernetes | LLM | MLflow | Machine Learning | Model Evaluation | Observability | Python | Reliability Engineering | SQL Injection | Site Reliability | Site Reliability Engineering | Terraform | Threat detection | “as-code”
Education
N/A
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