Post #2769

#Datascience#middle#senior#job#remote#fulltime We’re looking for a thoughtful and detail-oriented Data Scientist to join our ML QA team. You’ll play a key role in ensuring the reliability and long-term performance of our real-time computer vision systems. This position sits at the intersection of data science, quality assurance, and system monitoring, helping us detect subtle model degradations before they affect users. Location: Remote (you should be based outside Russia and Belarus). Type: Full-time Salary: from 4500 EUR gross. ✈️ Assaia is working on ML-based systems for international airports and airlines. We were founded in February 2018 in Switzerland. We develop a computer vision system that monitors and analyses aircraft servicing processes from video streams. The data that the system generates is used in real-time for monitoring, alerting, delay predictions, and also historically – for performance, safety analysis and decision making. Our clients include Seattle-Tacoma International Airport, John F. Kennedy International Airport, Aeroporti di Roma, Toronto Pearson Airport, Halifax, CVG, British Airways, and Alaska Airlines. Other projects are under NDA. 🎆 We are a fully remote team of 90 and growing. Responsibilities: ✍️Design and build systems that detect performance issues in real-time computer vision pipelines, capable of identifying degradation over time and triggering alerts. 🛠️Develop and maintain unsupervised testing tools to validate CV pipelines both in real-time and during system rollout or retraining. ♾Actively participate in brainstorming sessions and technical discussions across the ML and QA teams. 🤝Regularly propose improvements to team workflows, increase automation, reduce tech debt, and boost system reliability. Requirements: 🐍3+ years of experience with Python in production environments ⏳3+ years of hands-on experience in data science, ideally applied to real-world ML systems 🐳Experience using Large Language Models (LLMs) for development, debugging, or automation tasks 🌐Hands-on experience with kubectl for monitoring and debugging ML systems in production 🇬🇧Very good verbal and written English skills (at least B2+). Nice to have: ➕Experience in ML QA, monitoring, or model validation workflows 💥Experience working with large-scale data pipelines or big data environments ⬆️Familiarity with tools like MLflow, DVC, or other experiment/data tracking platforms Assaia is a unique place where you can work on a technically advanced and innovative product for an exciting and important industry. You will be working in a diverse international team of smart people who can learn a lot from each other – all this without leaving your home – or sunbed, if you wish! Your input will be valuable and we actively ask everyone to share their thoughts and ideas to help steer the direction of the company’s development. Additionally, we offer: 🗺️Always remote work and flexible schedule. 😍5 weeks of paid vacation, paid sick leave, paid relevant courses and conferences/online education/English courses. 💜Regular performance reviews to make sure you enjoy your tasks, challenges, growth and salary. 🤝Flat hierarchy and close to zero bureaucracy, a diverse international team of smart people. 🏝Live team events in Europe. ✅Got questions or want to apply? Reach out to @MatveevaKse