Назад
10 часов назад

Computer Vision/AI Engineer

Формат работы
remote (только Russia)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Russia
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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Описание вакансии

Текст:
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TL;DR
Computer Vision/AI Engineer (Python/PyTorch): Building AI-powered tennis video analysis from smartphone-recorded match footage with an accent on computer vision, video analytics, dataset quality, and production-oriented model improvement. Focus on evaluating and improving detection and tracking models, designing temporal interpretation logic, optimizing cloud video pipelines, and deploying inference to edge and mobile devices.

Location: Remote from Russia, with the role based in Saint Petersburg

Company

OnTarget Labs is an international software product development company building next-generation product lines.

What you will do

  • Build and improve computer vision and machine learning models for AI-powered tennis video analysis.
  • Work across the full CV/ML pipeline, including dataset quality, model evaluation, failure-mode diagnosis, and targeted experimentation.
  • Develop custom tracking, smoothing, temporal decoding, and model interpretation logic.
  • Improve model robustness for diverse real-world video conditions and optimize cloud-based video processing pipelines.
  • Deploy and optimize inference on edge and mobile devices using technologies such as ONNX, Core ML, and TensorFlow Lite.
  • Independently assess technical problems, recommend experiments, implement improvements, and communicate trade-offs under Head of Engineering or CTO guidance.

Requirements

  • 3–6 years of professional experience.
  • Strong practical computer vision experience, especially with real-world video.
  • Strong Python and PyTorch experience.
  • Experience with object detection, object tracking, classification, or keypoint-based models.
  • Experience with dataset strategy, annotation quality, validation design, metric interpretation, and production-level model robustness.
  • Bachelor’s degree in Information Systems, Computer Science, or a related field; excellent verbal and written English.

Nice to have

  • Sports video analytics experience.
  • Ball, racket, puck, or other fast-moving object tracking experience.
  • Experience working with smartphone-recorded or consumer-quality video.

Culture & Benefits

  • Full-time remote work.
  • Competitive compensation determined after the interview.
  • Professional growth opportunities.
  • Business trips abroad.
  • Collaboration with an international team of IT professionals.

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