Computer Vision AI/ML Engineer part-time


15000 - 22000 PLN

WielkoŇõńá firmy
25 - 49
Stack technologiczny
Part-time Mid/Senior Computer Vision AI/ML Engineer needed - Remotely

We are looking for an experienced Mid/Senior Computer Vision AI/ML Engineer for part-time engagements, from time to time. After hours and/or weekends are OK. International team & US clients. Some overlap with the Pacific Time Zone needed.
  • 20h a week (weekends are OK), 2 calls with the client per week
  • Remotely
  • DevsData LLC
  • from 80 PLN/h up to 130 PLN/h (senior engineers)

We’re again looking for new people to join our (nerdy) team!


  • Bachelor's Degree in Computer Science, preferably with research experience
  • Python¬†- writing clean, modular code
  • Traditional¬†computer vision algorithms
  • Experience in common¬†Machine Learning methods
  • Experience working in an agile team software development environment
  • You have at least¬†3+ years of professional¬†and/or academic¬†experience¬†in areas related to computer vision, machine learning, or image processing
  • You have professional experience building and deploying computer vision applications in¬†Python¬†that perform image processing in both cloud and mobile environments
  • You have previous experience with institutionalized¬†computer vision applications¬†in the market
  • Computer Science foundation, excellent analytical and time management skills
  • Very good written and spoken¬†English skills¬†(at least B2)
About You

  • You are innovative and fearless when tackling difficult problems
  • Talented, curious, passionate and inventive in representative parts
  • You have strong and well-formed ideas that are weakly held; you can discuss, listen and participate in a passionate debate that may make you reconsider
  • You enjoy exploring new technologies and taking them for a spin
  • Advanced degree in computer science or a related field, with focus on computer vision, robotics or deep learning

What will you do?

Develop state of the art AI image improvement techniques
Analyze system performance, improve efficiency, stability and scalability
Collaborate within the team across product, design, product, infrastructure, strategy and engineering
Build proof of concepts to test theories and use the findings to develop a video improvement technique
Keep up with relevant research to apply and apply it to our streaming product
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