Senior Machine Learning Operations Engineer (MLOps)
Tasks
- Build ML deployment automation and production monitoring
- Build and maintain CI CD pipelines for ML workloads
- Collaborate with data scientists to streamline ML workflows
- Drive cloud infrastructure architecture decisions for large scale ML
- Implement infrastructure as code with Terraform
- Lead end to end ML infrastructure design and maintenance
- Provide mentorship for MLOps and data science best practices
- Set up model monitoring alerting and logging
Perks/Benefits
- Barista services
- Breakfast
- Employee assistance program
- F1 simulators
- Happy hour
- Learning and development courses
- Open pantry snacks
- Paid volunteer day
- Remedial massage
- Table tennis
- Team lunches
- Work from home
Skills/Tech-stack
AWS | Alerting | Apache Spark | Azure | CI/CD | Cloud platform | Distributed Computing | Docker | Google Cloud | Google Cloud Platform | Hadoop | Infrastructure as Code | Kubernetes | Learning operations | Linux | Logging | Machine Learning | Machine Learning Operations | Monitoring | Observability | Python | Terraform | “as-code”
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