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.
- Positive 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

📌 Computer Vision/ Machine Learning Engineer Intern (India)
🏢 Practice Buzz
📍 India