Principal AI Engineer

Edge Group; Abu Dhabi; On-site; AED 220,000 - 320,000; Full time

Job summary

Edge Group is seeking an experienced AI/ML engineer to design and implement advanced machine learning algorithms for embedded and PC-based systems.

The role focuses on computer vision, video analytics, and edge AI, requiring strong Python and C/C++ skills, Linux scripting, and experience with Git and Docker. Travel and field support may be needed, with opportunities to collaborate across multidisciplinary teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum 5-7 years of experience in designing and implementing machine learning algorithms.
• Strong understanding of Data Science, Machine Learning, and Deep Learning, with experience in computer vision.
• Proficiency in Python and C/C++ is required.
• Experience working in Linux environments, including shell scripting, and familiarity with Git and Docker.

Responsibilities

• Develop software components based on defined requirements and design specifications.
• Analyze, debug, and resolve software issues on embedded devices and PC-based systems.
• Perform software integration and ensure proper functioning across modules.
• Conduct verification activities such as testing, analysis, and reviews to ensure quality and reliability.
• Collaborate with cross-functional teams to solve complex problems using AI, computer vision, and video analytics techniques.
• Develop and maintain video analytics solutions on edge devices using Python and C/C++.
• Implement algorithms for object detection, tracking, recognition, and classification.
• Ensure compliance with software development standards, quality assurance processes, and configuration management guidelines.
• Follow company policies, statutory regulations, and safety requirements.
• Work in a dynamic environment with changing priorities and tight deadlines.
• Ability to work under pressure and extend working hours when required.
• Willingness to travel and provide field support during testing.
• Operate under general guidance from a Manager or Mentor, with responsibility for planning and prioritizing daily tasks.

Skills

Machine Learning

Deep Learning

Data Science

Python

C/C++

Linux

Shell scripting

Git

Docker

Computer Vision

Edge AI

Education

Bachelor’s or Master’s degree in CS/AI/ML

Tools

Docker

Git

Linux

Job description

Qualifications / Education / Experience / Training

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Minimum 5-7 years of experience in designing and implementing machine learning algorithms. Strong understanding of Data Science, Machine Learning, and Deep Learning, with experience in computer vision. Proficiency in Python and C/C++ is required. Experience working in Linux environments, including shell scripting, and familiarity with Git and Docker.

Job Responsibilities (Key Result Areas)

Develop software components based on defined requirements and design specifications. Analyze, debug, and resolve software issues on embedded devices and PC-based systems. Perform software integration and ensure proper functioning across modules. Conduct verification activities such as testing, analysis, and reviews to ensure quality and reliability.

Collaborate with cross-functional teams to solve complex problems using AI, computer vision, and video analytics techniques. Develop and maintain video analytics solutions on edge devices using Python and C/C++. Implement algorithms for object detection, tracking, recognition, and classification.

Ensure compliance with software development standards, quality assurance processes, and configuration management guidelines. Follow company policies, statutory regulations, and safety requirements.

Work in a dynamic environment with changing priorities and tight deadlines. Ability to work under pressure and extend working hours when required. Willingness to travel and provide field support during testing. Operate under general guidance from a Manager or Mentor, with responsibility for planning and prioritizing daily tasks.