Data Science Enablement Specialist
New
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonKubeflowMLFlowMLOps
Requirements
- Strong experience with ML platforms and end-to-end machine learning lifecycle.
- Deep knowledge of MLOps practices in large-scale production environments.
- Proven experience in technical enablement, ML architecture, or developer advocacy.
- Ability to produce clear technical documentation and reference architectures.
- Strong ownership mindset with the ability to identify critical issues independently.
- Advanced Python skills for ML workflows.
- Experience with tools such as MLflow, Kubeflow, or equivalent MLOps platforms.
- Experience with cloud ML platforms such as AWS SageMaker, Vertex AI, or Azure ML.
Responsibilities
- Lead technical enablement for ML teams using the enterprise ML platform.
- Coordinate and support the migration of legacy ML models to the new platform.
- Identify technical gaps, bugs, and adoption barriers.
- Create high-quality technical documentation including architecture blueprints and runbooks.
- Translate user feedback into actionable insights for the platform roadmap.
- Conduct technical workshops, enablement sessions, and architecture reviews.
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