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About
Lead the end-to-end machine learning lifecycle, including model development and deployment Own and evolve ML Ops architecture, ensuring compliance with internal standards Serve as a player-coach, contributing to design reviews and implementation of high-impact initiatives
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's preferred) 7+ years of professional experience in machine learning or related engineering roles 1-3+ years of people leadership experience, preferably managing ML or data-focused teams Demonstrated hands-on experience with computer vision frameworks and large language models Strong proficiency in Python and experience with production-grade ML systems
Languages
- English
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