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Computer Vision/Machine Learning Engineer
  • Gdańsk
Computer Vision/Machine Learning Engineer
Gdańsk, Gdańsk, Pomeranian Voivodeship, Polska
DAC.digital
13. 11. 2025
Informacje o stanowisku

Overview

Computer Vision/Machine Learning Engineer role at DAC.digital. We are looking for a motivated individual with experience in machine learning and computer vision to join projects in eye-tracking technology and the food industry. If you are passionate about applying AI-driven solutions to real-world challenges and want to contribute to innovative R&D work, this is the place for you.

Responsibilities

  • Implementing ML solutions for time-series or vision problems
  • Building the solution relying on both ML and analytical methods for pre-/post-processing
  • Writing unit, functional, integration, end-to-end, and qualitative tests
  • Practically utilizing good practices of AI project implementation
  • Participating in strategic planning for the AI division

Qualifications

  • Problem-solving mindset
  • Can-do attitude
  • Experience in the implementation of commercial projects
  • Ability to discuss and propose the most efficient solution
  • Good overview of the state-of-the-art in ML models
  • Well-grounded technical knowledge from signal and image processing
  • Willingness to share knowledge with adequate knowledge transfer skills
  • Great teamwork abilities with a hands-on approach
  • Passion for supporting team members in their career growth
  • Drive to learn new technologies

Main Technologies

  • Python 3.11 and up
  • PyTorch
  • ONNX
  • Numpy
  • OpenCV
  • Pandas/Polars
  • AWS/Azure familiarity
  • Pytest
  • VSCode
  • Experiment tracking framework (DVC studio, MLFlow, W&B, or similar)

Nice-To-Have Technologies

  • TensorFlow
  • OpenVINO
  • TF Lite
  • Edge Impulse
  • PyTorch Mobile
  • MinIO
  • Amazon S3/Azure Blob
  • SHAP
  • Jetson
  • OpenMMLab
  • OpenAI API
  • RAG familiarity

What We Offer

  • B2B contract with included 30 days off
  • Private medical care
  • Group insurance
  • Pre-paid card or sport card
  • Referral program
  • Real Agile practices
  • Employee well-being online platform
  • Cafeteria benefits

Apply to join our team!

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