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Added 5 mins ago
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
Full-time · Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 5 mins ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 34 mins ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 49 mins ago
Systems Engineer – End-to-End Software Diagnostics & Observability
Vertage
Ottawa, ON · Kanata, ON
Contract
Job title: Systems Engineer – End-to-End Software Diagnostics & Observability
Added 1 hour ago
Senior IAM Engineer
Collabera
Toronto, ON
$90 to $95 CAD / hour
Contract
We are seeking an experienced Senior IAM Systems Engineer - Advanced to support enterprise authentication and identity access management initiatives.
Added 1 hour ago
Principal Metallurgical Engineer
Worley
AB · Edmonton, AB
Full-time
We are currently seeking a Principal Metallurgical Engineer to join our Canada West Engineering team in either Calgary, Alberta or Edmonton, Alberta. This role is a senior technical…
Added 1 hour ago
Principal Metallurgical Engineer
Worley
Calgary, AB
Full-time
We are currently seeking a Principal Metallurgical Engineer to join our Canada West Engineering team in either Calgary, Alberta or Edmonton, Alberta. This role is a senior technical…
Added 1 hour ago
Lead Software Engineer
TechDoQuest
Toronto, ON
Full-time
…and ERP Cloud modules. Your mission is two-fold: serve as an expert-level technical resource who can hands-on deliver in-house enhancements to drive cost efficiencies, and act as an…
Added 2 hours ago
Senior Machine Learning Engineer
BULL-IT SOLUTIONS LTD
Vancouver, BC
Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives.
Added 2 hours ago
Engineering Intern
Pliteq
Woodbridge, ON · Vancouver, BC · Toronto, ON
Full-time
-Become a subject matter expert in producing layout drawings using CAD software
Added 3 hours ago
Principal AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 3 hours ago
Microelectronics Process Engineer
Actalent
Ottawa, ON · Kanata, ON
Full-time
Expert knowledge of flip-chip assembly processes.
Added 3 hours ago
Senior Security Engineer
Actalent
Ottawa, ON
Contract
Job Title: Expert Security Engineer Vulnerability Prime
Added 3 hours ago
Senior Security Engineer
Actalent
Ottawa, ON
Contract
Job Title: Expert Security Engineer Vulnerability Prime
Added 3 hours ago
Technical Sales Engineer (Electrical Power Solutions) (LB008)
Potenco
Toronto, ON · Greater Toronto Area, Canada
Full-time
Technical Sales Engineer | Load Banks (portfolio lead)
Added 3 hours ago
Linux Desktop Engineer
Celestica
Toronto, ON
Full-time
The Linux Desktop Engineer will own the design, deployment, configuration, and structural maintenance of Celestica's high-performance Linux computing platform. This role directly supports…
Added 3 hours ago
IAM System Engineer
Mindlance
Toronto, ON
$80 to $95 CAD / hour
Contract
Job Title: Senior IAM Systems Engineer - Advanced
Added 4 hours ago
Senior Machine Learning Engineer // Toronto, ON // Hybrid : FTE
AceStack
Toronto, ON
Full-time
We are seeking an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives. The ideal candidate will have strong hands-on expertise…
Added 7 hours ago
Application Security Engineer
Cybage Software
Canada
Contract
…across critical applications. You will serve as a subject matter expert (SME) in application, guiding engineering teams, influencing security strategy, and driving automation across the…
Added 8 hours ago
AI Engineer
GEI Consultants, Inc.
Guelph, ON
$110,000 to $150,000 CAD / year
Full-time
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.
Added 14 hours ago
Senior Product Manager, Okta Customer Identity
Okta
Toronto, ON
Be the go-to expert for your area of the Consumer Identitty platform roadmap in front of customers, executives, and cross-functional partners.
Added 14 hours ago
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
Full-time
We are seeking a Director, Consulting Expert (DCE) – Enterprise Data Warehouse & Data Platforms to provide senior technical, solutioning, and client facing leadership
Added 15 hours ago
Principal Mechanical Engineer
Worley
Edmonton, AB · Calgary, AB
Full-time
We are currently seeking a Principal Metallurgical Engineer to join our Canada West Engineering team in either Calgary, Alberta or Edmonton, Alberta. This role is a senior technical…
Added 20 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 20 hours ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)

LER TechForce

Technical Project Manager

Ottawa, ON, Canada
Kanata, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

WHAT YOU WILL BE DOING

At Our Client´s Motor Company, it is believed freedom of movement drives human progress. With their exciting plans for the future of mobility, they have 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 Client´s ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately. That is why Our Client is investing in an End-to-End Software Diagnostics & Observability initiative focused on transforming how vehicle issues are understood across engineering, diagnostics, and service workflows. We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent reasoning to improve case quality, accelerate fault isolation, guide next-best actions, and support scalable human-in-the-loop escalation. This initiative sits at the intersection of embedded systems, cloud services, diagnostics, observability, and AI/ML engineering. Do you want to help define the future of AI-enabled diagnostics for next-generation vehicles?

Our Client´s team is a fast-paced, highly collaborative organization that translates advanced technical strategy into deployable capabilities. If you are passionate about AI/ML, complex systems, embedded software, and solving real-world engineering problems at scale, consider joining our forward-thinking team. As a Systems Engineer - End to End Software Diagnostics & Observability, you will work with a cross-functional team responsible for defining, integrating, and maturing intelligent diagnostic workflows that span embedded vehicle behavior, cloud-based observability, AI reasoning engines, and human support processes. This role is ideal for a highly capable recent graduate or early-career engineer from a top engineering, computer science, or AI/ML program who wants to work on real-world AI systems for software-defined vehicles.

Responsibilities include but are not limited to:

Help define system-level requirements, interfaces, and workflows for Our Client´s 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.
Help translate business, service, and engineering needs into technical requirements for diagnostic systems, AI engines, APIs, workflow orchestration, and support tooling.
Support AI/ML driven capabilities such as case intake assistance, knowledge retrieval, diagnostic reasoning, decision support, validation, and orchestration.
Define and refine requirements for diagnostic evidence collection, including DTCs, PIDs, Freeze Frame data, logs, event traces, module state, and procedural outcomes.
Support design of systems that combine Our Client´s engineering knowledge, diagnostics data, and AI reasoning to isolate likely root causes in embedded vehicle systems.
Participate in evaluation and validation of AI system behavior using diagnostic evidence, service data, engineering content, and observability signals.
Work with internal teams and suppliers to integrate containerized AI solutions into Our Client´s-managed cloud environments and workflow systems.
Help define observability requirements for diagnostic systems, including logs, metrics, traces, dashboards, alerts, and escalation 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.
Communicate technical tradeoffs, risks, and recommendations clearly to engineering teams, product teams, and leadership.
Work under the guidance of experienced engineers.

WHAT YOU'LL NEED

Essential:

Systems Development Life Cycle, Software Systems, Systems Engineering, Product Management, Systems Architecture, Systems Analyst.
Software Systems - Understand how an application´s components work together, and help troubleshoot issues across the system.
Systems Analyst - Gather and document user or business requirements, analyze current processes, and translate needs into functional specifications.
Systems Architecture - Understand or help document how systems and components fit together, including integrations, data flows, and technology choices.
Systems Development Life Cycle - Participate in the stages of system delivery, from requirements and design through development, testing, deployment, and maintenance.
Systems Engineering - Help define system requirements and ensure components work together to meet performance, reliability, and operational needs.
Product Management - Help prioritize features, maintain a product backlog or roadmap, and coordinate with stakeholders and development teams.
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 through internships, research, academic projects, or full-time work.
Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines.
Strong proficiency in Python.
Familiarity with AI/ML prototyping and engineering workflows, including training, inference, prompt-based systems, retrieval-augmented workflows, embeddings, ranking, or reasoning pipelines.
Familiarity with software engineering fundamentals, APIs, Git-based development, and containerized application workflows.
Interest in embedded systems, vehicle diagnostics, software-defined vehicles, and intelligent support workflows.
Ability to translate ambiguous problem statements into structured technical requirements and system behavior.
Strong written and verbal communication skills and requirements authoring with the ability to drive high level abstract conversations with leadership.
Demonstrated ability through coursework, research, internships, or projects to build or prototype AI/ML enabled systems.
4 days per week in office.

Preferred:

Python, GCP, Java, Artificial Intelligence & Expert Systems.
Artificial Intelligence & Expert Systems - Understand or contribute to a basic AI or rules-based feature, such as classifying requests or recommending a next step, while recognizing when human review is needed.
GCP - Use Google Cloud services to deploy or support an application, store data, or monitor a cloud-based system.
Python - Write or maintain basic Python scripts for automation, data processing, or application functionality.
Java - Write or maintain Java code for application features, business logic, and error handling.
Education from a highly regarded engineering, computer science, or AI/ML program with strong evidence of technical rigor.
Hands-on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems.
Experience with PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, BigQuery, or similar AI/ML and cloud tools.
Experience building chatbots, copilots, AI assistants, search systems, or reasoning systems.
Familiarity with evaluation of AI systems for grounding, confidence, traceability, explainability, and policy compliance.
Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies.
Exposure to DTCs, PIDs, Freeze Frame data, logs, vehicle network data, or diagnostic workflows.
Familiarity with GCP, Docker, GitHub, CI/CD, and observability tools such as Dynatrace or Grafana.
Experience through internships, research, or projects involving distributed systems, platform integration, or cloud-native services.
Ability to work well in a collaborative, agile environment with software, embedded, cloud, AI, and product teams.
Strong curiosity, ownership mindset, and willingness to learn quickly in a technically demanding domain.
Ability to be detail oriented while understanding broader system and product goals.

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More about this job

Responsibilities

Define and refine system requirements, interfaces, and workflows for AI-powered vehicle diagnostics and observability across embedded, cloud, data, and AI/ML systems. Support integration, validation, deployment, issue triage, and cross-functional problem solving for diagnostic capabilities and workflows.

Requirements

A bachelor's or master's degree in a relevant engineering, computer science, AI/ML, or related field is required, along with 3–6 years of relevant experience through work, internships, research, or projects. Candidates should have strong Python and AI/ML foundations, familiarity with software engineering and cloud workflows, and the ability to translate ambiguous needs into technical requirements and communicate effectively.

Skills

Systems Engineering
Systems Architecture
Requirements Analysis
Product Management
Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Embedded Systems
Vehicle Diagnostics
Cloud Engineering
Google Cloud Platform
APIs
Observability

Visa sponsorship

Not detected in the job text

Keywords

Systems Engineering
Systems Architecture
Requirements Analysis
Product Management
Python
Java
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Semantic Retrieval
Vector Search
PyTorch
TensorFlow
Scikit-Learn
LangChain
Vertex AI
Google Cloud Platform
BigQuery
Docker
Git
CI/CD
APIs
Embedded Software
Vehicle Diagnostics
Diagnostic Trouble Codes
Observability
Grafana
Dynatrace

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