Senior MLOps Engineer - Data Ingestion - Paris
Tasks
- Automate and orchestrate ML workflows
- Build and maintain ETL data pipelines
- Build and maintain data pseudo anonymization architecture
- Deploy evaluate and monitor ML models
- Design and implement ML model pipelines in production
- Detect threats using ML based models
- Implement production model evaluation frameworks
- Implement secure data export services
- Manage golden datasets
- Mentor team members on MLOps best practices
- Monitor data and ML platforms for performance reliability and security
- Troubleshoot infrastructure and pipeline issues
Perks/Benefits
- Coaching services
- Extra parental leave
- Flexible days
- Health insurance
- Lunch vouchers
- Mental health support
- Paid vacation
- Public transport reimbursement
- Relocation support
- Sport club subsidy
- Training access
- Work from abroad
Skills/Tech-stack
AWS | Azure | Batch Processing | Braintrust | Cloud infrastructure | Data anonymization | Data pseudonymization | Dataset Management | Docker | ETL | GCP | Golden Dataset | Golden Dataset Management | Inference Pipelines | Infrastructure as Code | Kubernetes | LLM | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Observability | Python | Reliability Engineering | Security monitoring | Site Reliability | Site Reliability Engineering | Terraform | Threat detection | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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