Data Scientist ML Quality Assurance (Computer Vision)

Assaia International AG provides AI-based software solutions for global airports and airlines. We were founded in February 2018 in Switzerland, headquartered in Zurich and New York and we have a fast-growing team located across Europe and North America.

Assaia offers AI-based computer-vision solutions that monitor and analyse aircraft turnaround processes from video streams. Assaia’s solutions help airports and airlines improve on-time performance, efficiency, safety, and sustainability metrics, helping them get their passengers to their destinations on time. We work with aviation companies across the world including New York JFKIAT, Toronto Pearson, United Airlines, British Airways, London Heathrow and more.  See details and demos on our website and Linkedin!  

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.

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.

Why Assaia

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:

• A flat hierarchy and close to zero bureaucracy.
• Participation in making important decisions, your ideas will be heard and implemented.
• Always remote work and a flexible schedule. The candidates should be based outside of Russia and Belarus.
• Agile processes.
• Paid vacation, paid sick leaves.
• Paid relevant courses/online education/English courses.
• Great company culture based on honesty and mutual respect.
• Live team events.