Collaborate with engineering, product, and data science to identify ML opportunities.
Develop tools to automate manual processes to speed experimentation and reduce errors.
Build, integrate, and monitor end-to-end lifecycles of large-scale ML systems.
Investigate model performance and data quality issues.

🎯 Requirements

Experience tooling for annotation, curation, and ML datasets.
Proficiency with high-volume image and video datasets.
Proficiency using AI tools to accelerate product development.
Strong, readable, tested code in collaboration with engineers.
5+ years of experience with ML production systems.
Familiarity with developing SaaS products for business customers.

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