Senior AI Engineer - Edge Video Analytics & CV

ADASI; Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

Job summary

ADASI in Abu Dhabi is seeking a Senior AI Engineer to design and implement advanced machine learning solutions for embedded and PC-based systems. You will develop software components, analyze issues, and ensure reliable integration across modules.

The role requires strong expertise in AI/ML, computer vision, Python and C/C++, Linux environments, and experience with Git and Docker. You will collaborate with cross-functional teams and travel for field testing as needed.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5–7 years of experience designing and implementing machine learning algorithms.
• Proficiency in Python and C/C++, with experience in Linux environments, shell scripting, and familiarity with Git and Docker.

Responsibilities

• Develop software components for embedded devices and PC-based systems; analyze, debug, and resolve software issues; perform integration and verification.
• Collaborate with cross-functional teams to solve AI, computer vision, and video analytics problems; develop edge device video analytics in Python and C/C++; implement object detection, tracking, recognition and classification.
• Ensure compliance with software development standards, quality assurance processes, and configuration management guidelines; follow policies and safety requirements.

Skills

AI/ML

Computer Vision

Python

C/C++

Linux shell scripting

Git

Docker

Education

BSc/MSc in CS/AI/ML

Tools

Git

Docker

Linux

Job description

ADASI in Abu Dhabi is seeking a Senior AI Engineer to design and implement advanced machine learning solutions for embedded and PC-based systems. You will develop software components, analyze issues, and ensure reliable integration across modules.

The role requires strong expertise in AI/ML, computer vision, Python and C/C++, Linux environments, and experience with Git and Docker. You will collaborate with cross-functional teams and travel for field testing as needed.