
Senior Data Scientist – Computer Vision
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Mexico.
• Design, develop, and implement sophisticated computer vision solutions for analyzing and interpreting intricate movements from video.
• Contribute to a premier sports performance solution.
• Collaborate closely with the client's team.
• Assume responsibility for technical solutions.
• Make knowledgeable technical decisions.
• Effectively communicate technical decisions and trade-offs to both technical and non-technical stakeholders.
• Work in direct collaboration with client teams.
• Practical experience in developing and deploying computer vision systems in a production environment.
• Strong expertise in Computer Vision, particularly in object and people detection.
• Experience in motion analysis and comprehension of complex movement patterns.
• Familiarity with 2D pose estimation or other advanced motion analysis methods.
• Proficient in object tracking using contemporary computer vision techniques.
• Experience with temporal modeling across video sequences.
• Proficient in Python and PyTorch.
• Experience in training, fine-tuning, and assessing deep learning models.
• Comfortable with dataset curation, annotation workflows, and model evaluation metrics.
• Experience with video involving complex or rapid movements, including high frame rates, motion blur, and occlusions.
• Experience with custom pose estimation techniques, including developing or adapting existing models, skeleton structures, or keypoint definitions.
• Capable of independently designing technical solutions, evaluating various approaches, and making informed technical decisions.
• Strong problem-solving abilities, technical ownership, and capacity to work with minimal supervision.
• Excellent written and verbal communication skills in English.
• Experience in 3D pose estimation or 2D-to-3D pose lifting from video.
• Experience in generating and rendering synthetic data for model training.
• Familiarity with biomechanics, human movement analysis, or movement screening.
• Experience working in a Microsoft Azure environment.
• Prior experience with Sports AI or sports performance analytics.
• Competitive salary package.
• Share plan.
• Referral bonus.
• Career coaching.
• Global career opportunities.
• Non-linear career paths.
• Internal development programs for management and technical leadership.
• Engaging projects.
• Rotations.
• Internal tech communities.
• Training.
• Certifications.
• Coaching.
• Subscriptions to online learning platforms.
• Pass-it-on sessions.
• Workshops.
• Conferences.
• Hybrid work arrangements.
• Flexible working hours.
• Employee assistance program.
• Global internal wellbeing program.
• Access to wellbeing applications.
• Global internal tech communities.
• Hobby clubs and interest groups.
• Inclusion and diversity initiatives.
• Events and celebrations.
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