Title: AI/ML Systems Engineer Duration: 12 Months Location: Hybrid / 4 days per week in office Salary Range: Competitive, based on experience Introduction At our company, we believe that freedom of movement drives human progress.

With our exciting plans for the future of mobility, we offer a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Modern vehicles are increasingly software-defined, connected, and intelligent.

Delivering a best-in-class ownership and service experience now depends on our ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately.

Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field. 3-6 years of experience in AI/ML engineering, embedded software, systems engineering, cloud engineering, or related areas.

Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines.

Solid proficiency in Python.

Ability to translate ambiguous problem statements into structured technical requirements and system behavior.





Preferred Skills & Qualifications Hands-on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems.

Experience with PyTorch, Tensor

Flow, scikit-learn, Lang

Chain, Vertex AI, Big

Query, or similar AI/ML and cloud tools.

Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies.

Day-to-Day Responsibilities Help define system-level requirements, interfaces, and workflows for the End to End Software Diagnostics & Observability initiative.

Support development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repair.

Work across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflows.

Participate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solving.

Support rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environments.

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Technical Program & Project Management Senior Associate (Kanata)
🏢 Artech
📍 Kanata