Senior ADAS AI/ML Engineer

Pentangle Tech Services | P5 Group; Raymond (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Pentangle Tech Services | P5 Group seeks a senior AI/ML engineer to lead ADAS projects using cutting‑edge AI/ML technologies. You will apply deep ML/DL knowledge, image processing, and computer vision to enhance automotive safety features, with hands‑on Python for real‑time algorithms.

You will design neural networks with TensorFlow/PyTorch and collaborate with cross‑functional teams across time zones, operating in a Linux environment. Strong communication is required.

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.

Responsibilities

• Lead the development and implementation of ADAS using cutting‑edge AI/ML technologies.
• Apply deep knowledge of ML, DL, 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.
• Collaborate with diverse, multi‑disciplinary teams, coordinating efforts across multiple time zones to achieve project goals.
• Communicate complex technical concepts clearly and effectively to stakeholders and team members.

Skills

Python

ML/DL

Computer vision

OpenCV

MATLAB

TensorFlow

PyTorch

Linux

Communication

Team collaboration

Tools

TensorFlow

PyTorch

OpenCV

MATLAB

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.

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.