Senior ADAS AI/ML Engineer

Job description:

Lead the development and implementation of advanced driver-assistance systems (ADAS) using cutting-edge AI and ML technologies.

Apply deep knowledge of machine learning, deep learning, image processing, and computer vision to enhance automotive safety features.

Utilize strong hands-on experience in Python to develop and optimize algorithms for real-time applications.

Design and implement neural network solutions using frameworks such as TensorFlow and PyTorch, specifically tailored for ADAS projects.

Innovate in the field of data structures, algorithms, and software development to improve system performance and reliability.

Integrate image processing and computer vision libraries, including OpenCV and MATLAB, to process and analyze visual data effectively.

Operate within a Linux OS environment, ensuring compatibility and efficiency of the developed systems.

Communicate complex technical concepts clearly and effectively, both verbally and in writing, to stakeholders and team members.

Collaborate with diverse, multi-disciplinary teams, coordinating efforts across multiple time zones to achieve project goals.

Qualifications

• Minimum of 5 years of professional experience in ADAS and AI/ML domains.

• Proven expertise in Python programming and experience with AI/ML/DL frameworks in ADAS applications.

• Familiarity with data structures, algorithms, and software development best practices.

• Proficiency in image processing and computer vision libraries like OpenCV and MATLAB.

• Strong background in Linux OS.

• Excellent communication and presentation skills.

• Ability to work effectively with diverse teams across different geographical locations.