Назад
3 часа назад

Computer Vision/AI Engineer (AI)

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

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Описание вакансии

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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, model evaluation, and production-oriented video analytics. Focus on improving model robustness, designing tracking and temporal interpretation logic, and optimizing cloud and edge/mobile inference pipelines.

Location: Remote, Tbilisi, Georgia

Company

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

What you will do

  • Build and improve AI-powered tennis video analysis from smartphone-recorded match footage.
  • Support the full computer vision and machine learning pipeline, from dataset quality and model evaluation to production-oriented improvements.
  • Develop custom tracking, smoothing, temporal decoding, and model interpretation logic.
  • Evaluate model outputs, diagnose failure modes, recommend experiments, and implement targeted improvements.
  • Deploy and optimize cloud-based video processing pipelines and selected edge/mobile inference workflows.
  • Communicate technical trade-offs and work under the guidance of the Head of Engineering and CTO.

Requirements

  • 3–6 years of relevant professional experience.
  • Strong practical computer vision experience, particularly with real-world video.
  • Strong Python and PyTorch skills.
  • Experience with object detection, object tracking, classification, or keypoint-style models.
  • Knowledge of dataset strategy, annotation quality, validation design, and metric interpretation.
  • Excellent verbal and written English communication skills. A bachelor’s degree in Information Systems, Computer Science, or a related field is required.

Nice to have

  • Experience with on-device edge or mobile inference, including ONNX, Core ML, TensorFlow Lite, quantization, pruning, latency optimization, or mobile performance tuning.
  • Experience with sports video analytics.
  • Experience tracking balls, rackets, pucks, or other fast-moving objects.
  • Experience with smartphone-recorded or consumer-quality video.

Culture & Benefits

  • Full-time remote work.
  • Opportunities for professional growth.
  • Business trips abroad.
  • Competitive compensation determined after the interview.

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