Senior Machine Learning Ops Engineer
Tasks
- Automate incident response and reliability work
- Build and maintain ML infrastructure end to end
- Define model serving standards
- Define service level objectives SLOs
- Deploy and serve machine learning models
- Design CI/CD pipelines for ML
- Develop standardized golden path workflows
- Enable Kubernetes autoscaling
- Implement automated model monitoring
- Implement observability tooling
- Maintain feature stores
- Maintain model registries
- Monitor for data drift
- Monitor for performance
- Orchestrate model training pipelines
- Provision GPUs for ML workloads
- Reduce manual interventions
- Stand up and operate Kubernetes based development cluster
Perks/Benefits
- Bike leasing program
- Birthday day off
- Development dollars
- Employee resource groups
- Free lunch
- Happy hours
- Headspace subscription
- Leadership development
- No meeting Fridays
- On demand e learning access
- Paid parental leave
- Paid vacation
- Paid volunteer time
- Pension plan contributions
- Public transportation subsidies
- Social events
- Therapy sessions
- Travel discounts
- Work from anywhere
Skills/Tech-stack
Automation | CI/CD | Datadog | Docker | Feature Store | Grafana | Kubernetes | Linux | Machine Learning | Model Registry | Model Serving | Observability | Prometheus | Python | Service Level | Service-Level Objectives
Education
N/A
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