Senior MLOps Engineer
Tasks
- Build machine learning deployment pipelines
- Collaborate with Data Scientists on model improvements
- Create foundational tools for production AI features
- Deliver data R&D projects from research to production
- Deploy monitor and optimize models in production
- Design MLOps infrastructure
- Develop data pipelines with Airflow
- Share MLOps best practices with the team
Perks/Benefits
- Flexible time off
- Food or nursery benefits
- Health insurance
- Subsidized ClassPass
- Tax-free payroll deductions
- Wellbeing support
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Run | Cloud platform | Dataflow | Docker | GKE | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Grafana | Kubernetes | MLflow | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | VertexAI
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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