Data Science Enablement Specialist | ML Platform & MLOps | Especialista
Tasks
- Conduct technical workshops and architecture reviews
- Coordinate legacy model migration
- Create technical documentation and runbooks
- Develop reference architectures
- Enable ML platform adoption
- Identify platform gaps and adoption barriers
- Lead model lifecycle best practices
- Support production model deployment and monitoring
- Translate user feedback into platform roadmap
Perks/Benefits
- Access to advanced AI and ML tools
- Career growth opportunities
- Collaborative technical work environment
- Learning and development programs
- Opportunity to influence platform adoption and strategy
- Remote friendly work model
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | Cloud Computing | Continuous Delivery | Google Vertex | Google Vertex AI | Kubeflow | MLOps | MLflow | Machine Learning | Machine learning lifecycle | Model Deployment | Model Monitoring | Model Serving | Python | Technical documentation | Training | Validation | Vertex AI
Education
N/A
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