Senior MLOps Engineer
Tasks
- Act as technical advisor
- Collaborate with cross-functional teams
- Design scalable ML infrastructure
- Establish deployment standards
- Lead ML system development and deployment
- Mentor junior engineers
Perks/Benefits
- Dental
- Enhanced parental leave
- Family-friendly flexibility
- Hybrid working
- Private healthcare
- Unlimited leave
Skills/Tech-stack
AWS | Azure | Cloud Platforms | Docker | GCP | Kubernetes | ML Lifecycle | PyTorch | Python | TensorFlow
Education
Bachelor's | Master's | PhD
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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