AI/ML Engineer – Computer Vision & Wearables

We’re looking for an AI/ML Engineer with 2–5 years of experience to help build ML capabilities around human movement, wearables and personalized fitness.

What you'll work on
Exercise/activity recognition, rep counting and movement understanding
ML on wearable sensor data — accelerometer, gyroscope, IMU and physiological signals
Video processing, frame extraction and pose estimation
Combining video and sensor data to build multimodal ML models
Taking problems from raw data → experimentation → model → evaluation → working product
Building ML capabilities that can eventually power real-time, personalized coaching experiences

What we're looking for
2–5 years of hands-on applied ML experience
Strong Python and ML/deep learning fundamentals
PyTorch / TensorFlow / scikit-learn
Experience working with video/computer vision, time-series or sensor data
Solid understanding of model evaluation, experimentation and data quality




Demonstrated ability to independently take an ambiguous ML problem, explore the data, test approaches and build something that works
Comfortable working in an early-stage ML workplace where the solution may not be known upfront

Great to have
Human Activity Recognition (HAR), exercise recognition or biomechanics experience
IMU / wearable / sensor-fusion experience
OpenCV, MediaPipe, pose estimation or action recognition
Multimodal ML — video + sensor data
Signal processing / time-series modelling
Mobile or edge ML deployment
Sports, fitness, health-tech, robotics or movement-related experience

We're looking for a strong applied ML builder rather than a specialist in any one technology. Prior wearable experience is a plus, but the ability to independently solve real-world ML problems and learn recent domains quickly is more important.

📌 Ai/ml Engineer Bengaluru
🏢 CureFit
📍 Bengaluru