
Hardware • SaaS • B2B
KITRO is a Swiss company that provides an automated food-waste tracking system for professional kitchens. Their TARE solution combines in-bin hardware with AI-driven software to automatically measure, classify and quantify edible food waste, feeding a cloud dashboard with insights, benchmarks and recommendations to help hospitality, healthcare and institutional foodservice operators cut costs and meet sustainability goals. The product is designed for quick plug-and-play installation and ongoing expert support to deliver measurable reductions in waste and food costs.
October 13

Hardware • SaaS • B2B
KITRO is a Swiss company that provides an automated food-waste tracking system for professional kitchens. Their TARE solution combines in-bin hardware with AI-driven software to automatically measure, classify and quantify edible food waste, feeding a cloud dashboard with insights, benchmarks and recommendations to help hospitality, healthcare and institutional foodservice operators cut costs and meet sustainability goals. The product is designed for quick plug-and-play installation and ongoing expert support to deliver measurable reductions in waste and food costs.
• Focus on increasing model accuracy and retraining models in the ML pipeline • Code and infrastructure maintenance • Drive R&D of innovative products like LLM agents and new computer vision models
• 5+ years of experience with Computer Vision • Proficient in Python and PyTorch • Hands-on experience designing, implementing, and managing solutions on AWS and GCP • Experience with DVC, GitHub automations, and MLOps tools • Experience developing LLM agents • Experience with SQL
• A remote-first setup - plus support to create a great home office environment • A hands-on, impact-driven role where your work directly shapes the future of the company • A startup culture that’s serious about results but we don't forget celebrate progress, laugh often, and learn fast • Quarterly team meetups at our Zurich HQ to reconnect, align, and enjoy real face time • A collaborative, purpose-driven team that values trust, transparency, and learning from mistakes (as long as we don’t repeat them)
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