Description

Design and implement computer vision and video ML models for automotive infotainment middleware.

This role is on-site.

Responsibilities

• Design, evaluate, and select computer vision and video ML models alongside their underlying software architecture.
• Incorporate tuned models into the wider automotive infotainment middleware software stack.
• Develop training protocols and continuous improvement processes for the software stack.
• Optimize computer vision algorithms for performance and robustness.

Required Skills

• 5+ years of experience in Machine Learning, Deep Learning, and Computer Vision.
• Proficiency in Python and C/C++.
• Hands-on experience with PyTorch, TensorFlow, or Keras.
• Experience with OpenCV and image/video data processing, including pre-processing, normalization, and data augmentation.
• Expertise in developing CV applications such as face detection, object detection, image classification, scene segmentation, and action recognition.
• Proven ability to evaluate and optimize computer vision algorithm performance.
• Any Graduate degree.

Preferred Skills

• Strong written and verbal English communication skills.

Key Skills

Education

Any Graduate