3 часа назад
Computer Vision/AI Engineer (AI)
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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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