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Computer Vision/Machine Learning Engineer

DAC.digital
Ruda Śląska, województwo śląskie
1 tydzień temu

We are looking for a motivated individual with experience in machine learning and computer vision to join projects in the fields of eye-tracking technology and the food industry. If you’re 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.

Key information:

Salary:

  • 24 600 – 26 500 PLN net month – B2B contract (pure B2B)
  • 21 800- 23 500 PLN net month – B2B contract (days off included)

It is vital that you have:

  • 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

You will be responsible for supporting our team in:

  • Implementing ML solutions for a given 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

What do 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.

Sounds like your cup of tea?

We are excited to have you on our team!

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