Description

Design and implement Computer Vision and Video ML models for automotive infotainment middleware.

Responsibilities

• Design, evaluate, and select Computer Vision and Video ML models alongside their underlying software architecture.
• Select and tune state-of-the-art models for integration into automotive infotainment middleware.
• Develop training protocols and continuous improvement processes for the software stack.
• Implement image and video data processing techniques, including pre-processing, normalization, and data augmentation.
• Optimize and evaluate the performance of Computer Vision algorithms.

Required Skills

• 5+ years of experience in Machine Learning, Deep Learning, and Computer Vision.
• Proficiency in Python and C/C++.
• Hands-on experience with OpenCV, PyTorch, TensorFlow, and Keras.
• Experience developing CV applications such as face detection, object detection, image classification, scene segmentation, and action recognition.
• Proven ability to process and augment image/video data to improve model robustness.
• Strong written and verbal English communication skills.
• Any Graduate degree.

Key Skills

Education

Any Graduate