Senior Machine Learning Engineer - Computer Vision

Ola Electric is revolutionizing electric mobility in India with its mission to accelerate the world's transition to sustainable transportation. The company operates the world's largest scooter factory and is building India's EV ecosystem from battery tech to charging infrastructure.

We are looking for a Senior ML Engineer specializing in Computer Vision to develop autonomous driving and ADAS features for our electric vehicles. You will work on cutting-edge perception systems that make our vehicles safer and smarter.

• Design and develop computer vision algorithms for object detection, tracking, and scene understanding in autonomous systems
• Build and optimize deep learning models for real-time perception using camera, LiDAR, and sensor fusion
• Implement and deploy ML models on embedded systems and edge devices with latency constraints
• Collaborate with hardware teams to optimize model performance for vehicular applications
• Conduct extensive testing, validation, and safety analysis of perception systems
• Stay updated with latest research in autonomous driving and implement state-of-the-art techniques

• 6+ years of experience in computer vision and deep learning with focus on perception systems
• Strong expertise in deep learning frameworks (TensorFlow, PyTorch) and CV libraries (OpenCV)
• Experience with object detection, segmentation, and tracking algorithms (YOLO, R-CNN, etc.)
• Knowledge of sensor fusion, SLAM, or autonomous driving technologies is highly preferred
• Proficiency in C++ and Python with experience in model optimization and deployment
• Publication record in top-tier conferences (CVPR, ICCV, NeurIPS) is a plus
• Master's or Ph.D. in Computer Science, Robotics, or related field preferred

• Competitive package between ₹25L – ₹30L per annum
• Work on cutting-edge autonomous vehicle technology shaping India's electric mobility future
• Join India's leading EV unicorn with massive growth potential and market leadership
• Access to state-of-the-art infrastructure, test tracks, and vehicle fleet for development
• Be part of a mission-driven team building sustainable transportation solutions

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