Bridge Research and Production: Translate data science research into production-ready
Scale to Millions: Build ML APIs and data pipelines handling millions of requests with low latency.
Architect from Scratch: Lead high-performance ML solutions and cross-functional adoption.
End-to-End Pipeline Architecture: Design and manage ML pipelines from data prep to deployment and

🎯 Requirements

Production ML Engineering: Translate complex models into optimized production software.
MLOps Mastery: Lifecycle management for models from experiments to live production.
Distributed Pipeline & API Design: Build scalable data pipelines and low-latency API
System Telemetry & Monitoring: Establish monitoring for engineering efficiency, system health
Technical Project Leadership: Prototyping, evaluate stacks, and align cross-functional teams.

🎁 Benefits

Hybrid work options
Competitive compensation and benefits

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