Machine Learning Operations
Tasks
- Automate ML developer lifecycle
- Build CI/CD pipelines
- Collaborate with research and product teams
- Deploy and manage models
- Design scalable ML pipelines
- Implement data versioning
- Implement model tracking
- Implement real-time monitoring and alerting
- Operationalize evaluation workflows
- Optimize model training and inference
- Support customer deployment readiness
Perks/Benefits
- Dental insurance
- Free meals and snacks
- Health insurance
- Professional development
- Unlimited PTO
- Visa sponsorship
- Vision insurance
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | CI/CD | Chronosphere | Cloud platform | Comet ML | Data Versioning | Docker | Drift Detection | Experiment tracking | Go | Google Cloud | Google Cloud Platform | Google Cloud Vertex | Google Cloud Vertex AI | Kubeflow | Kubernetes | MLflow | Model Drift | Model Drift Detection | Model Monitoring | Pulumi | Python | Rust | Terraform | Vertex AI | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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