Iterable - ML Platform Engineer
Tasks
- Collaborate with data science teams to remove infrastructure bottlenecks
- Deploy and monitor ML models continuously
- Design build and maintain core ML infrastructure
- Develop observability and experimentation frameworks
- Lead end to end development of ML pipelines
Perks/Benefits
- Balance days
- Complete laptop workstation
- Life/risk assurance
- Meal allowance
- Paid annual leave
- Paid sabbatical
- Private medical insurance
- Public holidays
Skills/Tech-stack
AWS | Amazon Web Services | CloudFormation | Databricks | Deep learning | Experimentation | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Monitoring | Pulumi | Python | Ray | Recommender Systems | Service Oriented | Service-Oriented Architecture | Terraform | Web Services | “as-code”
Education
N/A
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