Machine Learning Engineer

Canada (remote in Canada) helps companies gain a competitive advantage by providing customized AI-powered end-to-end solutions, with the main focus on AI software, team augmentation and AI advisory services.

Our technology capabilities include computer vision, predictive analytics and natural language processing. We also deliver machine learning and deep learning training programs to support companies in building in-house AI capabilities.

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!


  • collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications,
  • continuously optimise and improve AI algorithms for performance and accuracy in a cloud environment,
  • automate and optimise model deployment following MLOps best practices,
  • engage in the development of cutting-edge Kubernetes-driven infrastructure,
  • work on system reliability and backend stability, always looking for details to be improved,
  • share knowledge through talks and workshops (internal and external).


  • bachelor’s or advanced degree in Computer Science or Engineering,
  • proven experience (3+ years) in software engineering. Including experience with Python, Bash, Git, as well as Cloud services, and Linux,
  • proven experience (1+ years) in working with cloud (AWS/Azure preferred),
  • good understanding of system architecture(microservices, monoliths, REST API, DNS, caching),
  • familiarity with Docker, Kubernetes, and cloud platforms for ML deployment,
  • strong Python skills and familiarity with other object-oriented languages,
  • very effective communication skills, both written and verbal,
  • ability to solve problems and communicate complex ideas effectively,
  • legal right to work in Canada, we do not sponsor visas.

Bonus Skills:

  • basic understanding of machine learning algorithms,
  • keen interest for Generative AI and Large Language Models (LLMs),
  • previous startup experience.

We offer:

  • competitive salary,
  • opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production,
  • collaborative and supportive work environment, where you can grow and learn from a team of talented professionals,
  • an opportunity to participate in conferences and workshops,
  • an opportunity to participate in Tech Talks (internal training and seminar sessions),
  • flexible working hours as long as you are able to kick your day off with getting in touch with our European development team between 8AM and 9AM Eastern Daylight Time,
  • remote work options and travel to European headquarters available.

Some of our benefits

Medical package
Multisport cards
Flexible working hours
Lunch provided
Onsite English Lessons
Kitchens stocked with fruit and veggies twice a week
Theatre discount
Monthly integration budget
Company library
Knowledge sharing via deeptalks project
Holiday celebration

Contact us

The administrator of the personal data provided by you in the registration form is sp. z o.o., headquartered at al. Jerozolimskie 44, 00-024 Warsaw, Poland. Your personal data will be processed for the purpose of directing marketing content to you.
Detailed information about the processing of your personal data, including your rights, can be found in our privacy policy.
* This consent is required to receive email communication from sp. z o.o. regarding the company and its offerings.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
  •, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • Sp. z o.o.
  • al. Jerozolimskie 44
  • 00-024 Warsaw
  • Poland
  • ul. Łęczycka 59
  • 85-737 Bydgoszcz
  • Poland
Let us know how we can help