Computer Vision Engineer

Key skills

What you’ll do

• Design and deploy computer vision models for sports applications, focusing on pose estimation and object tracking for golf. Integrate these modules into mobile and web platforms while optimizing for real-time performance and latency.

What they’re looking for

• Requires strong Python skills and proficiency in CV frameworks like PyTorch and TensorFlow. Candidates must have a minimum academic performance of 8.5 CGPA or above.

Job description

Apply here : https://in.indeed.com/job/computer-vision-machine-learning-engineer-intern-19a13e9b9fa8b86e Company Overview Practice Buzz is developing a cutting-edge AI mobile application in the sports domain by the name of GolfWiz AI (golfwiz.ai). Our mission is to build intelligent applications that enhance athletic performance, provide real-time feedback, and deliver analytics for golf using computer vision, machine learning, and mobile/web platforms. Role & Responsibilities As a Computer Vision Engineer at GolfWiz.ai, you will: Design, develop, and deploy computer vision models and pipelines for sports applications (primarily golf). Work on video/image based pose estimation, object detection/tracking (e.g. golf club, ball, player), motion analysis, swing analysis. Collect, label, and curate sports datasets (golf swings, player posture, environmental variations etc.). Optimize models for mobile and real-time operation (latency, resource constraints). Integrate computer vision modules into mobile/web apps (Android / iOS / Web). Collaborate with cross-functional teams: ML engineers, software/app developers, UX/design to build end-to-end solutions. Perform A/B testing, validation, error analysis, continuous improvement of models. Stay updated with the latest research in computer vision (pose estimation, tracking, segmentation, etc.) and suggest improvements. Ensure code quality, documentation, reproducibility, and deployment best practices. Required Skills & Qualifications Strong programming skills in Python, plus experience with frameworks like TensorFlow, PyTorch, OpenCV, etc. Solid understanding of computer vision fundamentals: object detection, segmentation, tracking, pose estimation. Experience working with video/image datasets; annotation tools; data preprocessing, augmentation. Knowledge of optimization for real-time / mobile (e.g. model quantization, pruning, edge deployment). Experience with version control (e.g. Git). Strong analytical thinking, problem solving; ability to debug, profile, and optimize systems. Good communication skills; team-player. Minimum academic performance: 8.5 CGPA or above (only candidates meeting this criterion should apply). Desired / Plus Skills Background in biomechanics, motion capture. Experience with 3D vision or depth sensors. Experience with cloud infrastructure (AWS / GCP / Azure) for compute and storage. What You Will Gain Opportunity to work on real, impactful sports AI products. Hands-on work across the full stack of computer vision & deployment. Exposure to mobile/web applications and integrating AI/ML models. Learning environment with latest CV/ML techniques. Potential to see your work used by athletes, coaches, and sports enthusiasts. Selection / Recruitment Process Resume / CV shortlisting Technical screening (coding + algorithms + vision fundamentals) Practical test / take-home assignment: e.g. build or improve a vision model component Final interviews (team fit, discussion of test, etc.) Remuneration & Miscellaneous Compensation: Rs 30,000- Rs 50,000 Working hours: 10 AM- 6 PM Job Types: Full-time, Fresher, Internship Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Flexible schedule Paid time off Work Location: In person

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