Machine Learning/MLOps Engineer
Tasks
- Automate model deployment and management
- Build model training testing deployment monitoring
- Design MLOps pipelines
- Develop reusable MLOps tooling
- Enable model production readiness
- Implement model monitoring and alerting
- Manage cloud infrastructure for real time and batch models
- Troubleshoot production issues and perform root cause analysis
Perks/Benefits
- Annual vacation days
- Benefits portal
- Equipment allowance
- Hybrid work policy
- Occupational pension
- Parental leave top-up
- Private health care insurance
- Workation
Skills/Tech-stack
Automation | CI/CD | Cloud platform | Containerization | Data Quality | Drift Detection | Feature Store | Google Cloud | Google Cloud Platform | Machine Learning | Model Deployment | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | Python | Real Time | Real-time Processing | SQL | System design | Terraform | Time processing
Education
N/A
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