Data & MLOps Engineer (Mid-level) m/f
EUR 42K-60K (estimate) Mid-level Full Time
Tasks
- Automate infrastructure using Infrastructure as Code Terraform Ansible
- Build and maintain CI CD pipelines for data and ML solutions
- Build data pipelines ingestion validation transformation delivery
- Collaborate with data scientists and stakeholders deliver production ready solutions
- Deploy containerized workloads Docker Kubernetes managed cloud services
- Develop APIs and batch services exposing data products machine learning capabilities
- Implement MLOps practices experiment tracking model versioning model registries automated testing approval workflows rollback strategies
- Implement observability monitoring logging metrics data quality checks drift detection alerting
- Industrialize machine learning workloads packaging models automating deployments reproducible environments
- Produce technical documentation and knowledge sharing
Perks/Benefits
Skills/Tech-stack
API | AWS | AWS Glue | Alerting | Ansible | Apache Airflow | Azure | Azure Data | Azure Data Factory | CI/CD | Containerization | DBT | Data Factory | Data Governance | Data Quality | Data pipeline | Databricks | Docker | Drift Detection | ELT | ETL | Event Driven | Event-driven architecture | Experiment tracking | Git | Helm | Infrastructure as Code | Kafka | Kubernetes | Logging | MLOps | Metrics | Model Registry | Model versioning | Monitoring | NoSQL | Object storage | Observability | Python | REST API | Relational Database | SQL | Secure Software | Secure Software Engineering | Software Engineering | Terraform | “as-code”
Education
N/A
Roles
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