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Senior Computer Vision Engineer for sports analytics platform

Proxet is looking for a Senior Computer Vision Engineer to join our team.

JOB SUMMARY:

Proxet is looking for a Senior Computer Vision Engineer for a brand new computer vision-based analytical platform for basketball (and potentially for different sports).

Recommended background:

  • 5+ years of Python engineering and experience in research and development of computer vision technologies with machine learning and deep learning for real-world products;
  • Experience of image and video analysis – video classification, object detection, object segmentation, semantic instance segmentation, object tracking;
  • Experience of deploying and maintaining machine learning models in production both for mobile and cloud;
  • Experience writing, maintainable, testable, production-grade Python code;
  • Understanding of different machine learning and deep learning algorithm families and their tradeoffs, especially ones related to computer vision;
  • Experience with machine learning and deep learning libraries and frameworks (PyTorch, Tensorflow, Scikit-learn, XGBoost, TensorFlow, Keras, etc.);
  • Good knowledge of ML/DL theoretical underpinnings;
  • Experience working with labeling teams;
  • Team-player with strong interpersonal skills.

Would be a plus:

  • Experience with large-scale machine learning (10TB+ datasets);
  • Experience in design and development of data processing pipelines / video processing pipelines (Spark, Airflow, etc.);
  • Competitive machine learning experience (e.g. Kaggle) could be a plus;
  • Experience working with Apple Core ML.

We offer multiple benefits, that include:

  • Challenging work in an international professional environment;
  • The long-standing team as this is for a long term project;
  • Competitive salary;
  • Flexible work-from-home & remote work policy;
  • Mastering the English language with a native speaker;
  • 40-hour work week with flexible working hours;
  • PE accounting and support;
  • 20 paid vacation days per year;
  • 14 paid sick days per year;
  • Collaborative friendly team environment;
  • Cozy fully equipped office space in the city center.

Responsibilities:

  • Developing a complex computer vision analytical solution for basketball;
  • Owning the full Computer Vision life-cycle from conception to prototyping, testing and deploying to cloud and mobile platforms;
  • Provide technical expertise for the team and the whole company.

About the project:

This is a brand new computer vision-based analytical platform for basketball (and potentially for different sports) that allows automatically getting all game-related statistics from the video from one or several cameras in near-real-time.

INTERESTED? LET'S GET IN TOUCH!

Leave the information about yourself, leave a link or upload the portfolio file and we will contact you soon!