
B2C âą eCommerce
ASSAIA RESTAURANT is an authentic Georgian restaurant in Brooklyn, New York offering traditional homemade Georgian and European dishes, dine-in service, live music, outdoor backyard seating, club nights, and private event spaces. The venue provides online ordering, reservations, a mobile app with a membership club for deals, gift cards, and caters events of various sizes. ASSAIA RESTAURANT emphasizes a stylish yet relaxed atmosphere with a focus on cultural cuisine, hospitality, and events.
November 6
đȘđž Spain â Remote
đ” âŹ80k - âŹ90k / year
â° Full Time
đ Senior
đïž Computer Vision Engineer

B2C âą eCommerce
ASSAIA RESTAURANT is an authentic Georgian restaurant in Brooklyn, New York offering traditional homemade Georgian and European dishes, dine-in service, live music, outdoor backyard seating, club nights, and private event spaces. The venue provides online ordering, reservations, a mobile app with a membership club for deals, gift cards, and caters events of various sizes. ASSAIA RESTAURANT emphasizes a stylish yet relaxed atmosphere with a focus on cultural cuisine, hospitality, and events.
âą Architect and lead the development of scalable computer vision pipelines to solve complex event detection challenges, ensuring their seamless integration into our existing production systems. âą Develop and maintain an internal SDK for solving similar computer vision tasks across projects. âą Facilitate critical technical discussions and architectural design sessions, setting the technical vision and making key trade-off decisions for the team's most complex projects. âą Identify, define, and drive initiatives to improve MLOps practices, enhance internal tooling, reduce systemic technical debt, integrate best practices across the team.
âą 6+ years of professional experience in computer vision, with a proven track record of developing and deploying production-grade computer vision solutions. âą Proficiency in PyTorch, TensorFlow, or similar frameworks. âą Strong, hands-on experience across the full machine learning lifecycle, from data collection to model training, evaluation, deployment, and monitoring. âą Hands-on experience with kubectl for monitoring and debugging ML systems in production. âą Comfort with the daily use of LLM-based tools for prototyping, debugging, or documentation. âą Very good verbal and written English skills (at least B2+).
âą Participation in making important decisions, your ideas will be heard and implemented. âą Always remote work and a flexible schedule. âą Paid vacation, paid sick leaves. âą Paid relevant courses/online education. âą Great company culture based on honesty and mutual respect. âą Live team events.
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