Hiring: AI/ML Systems Engineer – Vehicle Diagnostics & Observability

Location: Kanata, Ontario, Canada (Hybrid - 4 Days Onsite)

Employment Type: Contract (12 Months)

About the Role

Ford is seeking an AI/ML Systems Engineer to support its next-generation Vehicle Diagnostics & Observability initiative. In this role, you will work at the intersection of Artificial Intelligence, Machine Learning, Embedded Systems, Cloud Technologies, and Vehicle Diagnostics, helping build intelligent diagnostic solutions for software-defined vehicles.

You will collaborate with cross-functional teams to define system requirements, support AI-powered diagnostic workflows, and develop solutions that improve fault detection, root-cause analysis, and vehicle serviceability.

Key Responsibilities

- Define and document system requirements, workflows, and technical specifications.
- Support the development of AI-powered vehicle diagnostics and observability solutions.
- Work across embedded systems, cloud platforms, data pipelines, and AI/ML models.
- Assist in designing intelligent diagnostic and decision-support workflows.
- Support AI/ML capabilities including LLMs, retrieval-augmented generation (RAG), and knowledge retrieval systems.




- Participate in system integration, testing, validation, and troubleshooting activities.
- Collaborate with engineering, product, cloud, and AI teams to deliver scalable solutions.
- Contribute to observability, monitoring, and analytics requirements.

Required Qualifications

- Bachelor's or Master's Degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Machine Learning, Systems Engineering, or a related field.
- 3-6 years of experience in AI/ML Engineering, Systems Engineering, Cloud Engineering, Embedded Software, or a related area.
- Solid proficiency in Python.
- Experience with Machine Learning, LLMs, AI workflows, and data pipelines.
- Familiarity with APIs, Git, Docker, containerized applications, and cloud technologies.
- Strong analytical, problem-solving, and communication skills.

Preferred Skills

- Generative AI, LLMs, LangChain, RAG, Vector Databases
- TensorFlow, PyTorch, Scikit-Learn
- Google Cloud Platform (GCP)
- BigQuery, Vertex AI
- Embedded Systems or Vehicle Diagnostics
- CI/CD, GitHub, Docker
- Observability tools such as Dynatrace or Grafana

📌 System Engineer (Ontario)
🏢 Vertage Global
📍 Ontario