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aws s3 python sagemaker vertex ai📋 Description
- Architect annotation & measurement pipelines with human-in-the-loop workflows.
- Drive cost-efficiency via evaluation and model benchmarking.
- Enforce Applied MLOps standards with model-as-a-judge and PII scrubbing.
- Collaborate on model strategy with the Data Science team.
- Build & integrate measurement loops into AWS/GCP infrastructure.
- Lead Applied AI initiatives across product teams.
🎯 Requirements
- Annotation & evaluation expert with Label Studio/Scale AI.
- Hands-on MLOps: monitoring, versioning, and evaluation loops.
- Strong Python proficiency for glue code and integrations.
- Balance model performance, latency, and cost.
- Proficient in AWS (Sagemaker, S3) and GCP (Vertex AI).
- Collaborative leader who enables DS teams with tools.
🎁 Benefits
- Work with talented, collaborative teammates.
- Onboarding and ongoing learning platform access.
- Meal stipends for remote work.
- Vacation, holidays, wellness, and parental leave.
- Medical, life, and business travel insurance.
- Stock options and equity-sharing program.
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