ML Ops Engineer – Video Analytics Platform

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 proactive ML Ops Engineer to help us scale our video analytics solution across multiple airports and support deployment at the scale of thousands of stands. You’ll work closely with both researchers and infrastructure engineers to ensure our pipelines are production-ready, efficient, and easy to use, even by non-ML specialists.

Responsibilities

• Maintain and improve our training infrastructure, enabling model trainers to test, train neural networks efficiently.
• Own and scale delivery pipelines from research prototypes to robust production systems, making them accessible to users without ML expertise.
• Actively participate in brainstorming and design discussions to improve processes and tools.
• Proactively identify weak spots in our system and suggest improvements to increase performance, reliability, and scalability.

Requirements

• 3+ years of production experience in Python.
• Solid understanding of data structures and algorithms to write optimized and scalable code.
• Confident in using LLM-based tools to write clean, efficient code, even in unfamiliar areas like front-end or DevOps tasks.
• Strong experience deploying and managing services in Kubernetes.
• Very good verbal and written English skills (at least B2+).

Nice to have

• Solid understanding of basic ML terminology (e.g. model evaluation, training loops, metrics).
• Hands-on experience working with large-scale video data (e.g. multi-terabyte datasets, storage optimization, video preprocessing pipelines).
• Experience with technologies from our stack: Django, PostgreSQL, MongoDB, Redis, Docker, Kubernetes.

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.
• Agile processes.
• Paid vacation, paid sick leave.
• Paid relevant courses/online education/English courses.
• Great company culture based on honesty and mutual respect.
• Live team events.

We are a team of 85 now. We are looking forward to expanding it with you!

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