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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying advanced computer vision solutions, particularly in object detection, motion analysis, and pose estimation. Proficient in Python and PyTorch, with strong problem-solving abilities and effective communication skills for collaborating with technical and non-technical stakeholders.
Highest-signal resume keywords
Computer Vision ExpertisePython ProficiencyDeep Learning Model TrainingMotion Analysis TechniquesTechnical Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer Vision Systems DevelopmentObject Detection2D Pose EstimationObject TrackingTemporal ModelingDataset CurationModel Evaluation Metrics3D Pose EstimationSynthetic Data GenerationMotion Analysis
Soft Skills
Problem-Solving SkillsEffective Communication
Tools & Technologies
PyTorchMicrosoft Azure
Industry Keywords
Sports AISports Performance AnalyticsBiomechanicsHuman Movement Analysis
Tech Stack
Tools & technologiesAzurePythonPyTorch
About the role
Key responsibilities & impact- Design, develop, and deploy advanced computer vision solutions to analyze and interpret complex movements from video
- Work on a world-class sports performance solution
- Work closely with the client's team
- Take ownership of technical solutions
- Make informed technical decisions
- Communicate technical decisions and trade-offs effectively with technical and non-technical stakeholders
- Collaborate directly with client teams
Requirements
What you’ll need- Hands-on experience developing and deploying computer vision systems to production
- Strong Computer Vision expertise in object and people detection
- Experience with motion analysis and understanding of complex movement patterns
- Experience with 2D pose estimation or other advanced motion analysis techniques
- Experience with object tracking using modern computer vision methods
- Experience with temporal modeling across video sequences
- Proficiency in Python and PyTorch
- Experience training, fine-tuning, and evaluating deep learning models
- Comfortable with dataset curation, annotation workflows, and model evaluation metrics
- Experience working with video involving complex or fast movements, including high frame rates, motion blur, and occlusions
- Experience with custom pose estimation approaches, including developing or adapting existing models, skeleton structures, or keypoint definitions
- Ability to independently design technical solutions, evaluate different approaches, and make informed technical decisions
- Strong problem-solving skills, technical ownership, and ability to work with minimal supervision
- Excellent written and verbal communication skills in English
- Experience with 3D pose estimation or 2D-to-3D pose lifting from video
- Experience generating and rendering synthetic data for model training
- Familiarity with biomechanics, human movement analysis, or movement screening
- Experience working in a Microsoft Azure environment
- Previous experience with Sports AI or sports performance analytics
Benefits
Comp & perks- Competitive salary package
- Share plan
- Referral bonus
- Career coaching
- Global career opportunities
- Non-linear career paths
- Internal development programmes for management and technical leadership
- Complex projects
- Rotations
- Internal tech communities
- Training
- Certifications
- Coaching
- Online learning platforms subscriptions
- Pass-it-on sessions
- Workshops
- Conferences
- Hybrid work
- Flexible working hours
- Employee assistance programme
- Global internal wellbeing programme
- Access to wellbeing apps
- Global internal tech communities
- Hobby clubs and interest groups
- Inclusion and diversity programmes
- Events and celebrations