Senior AI Engineer

AI in this role

computer-vision

External Job Description

Job Title: Senior AI Engineer

Qualifications / Education / Experience / Training

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Minimum 3 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.

Operating Environment

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.

#ADASI

How we rate this

Senior AI Engineer at EDGE Group rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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