10 часов назад
Computer Vision/AI Engineer
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Описание вакансии
Текст:
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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