We are recruiting an experienced Technical Program & Project Management Associate to join our team to support our client in the automotive industry. NOTE: HybridRESPONSIBILITIESDetect, understand, diagnose, and resolve complex software and electronics issues quickly and accuratelyWork 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.Help define system-level requirements, interfaces, and workflows for End to End Software Diagnostics & Observability initiativeSupport development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repairWork across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflowsHelp translate business, service, and engineering needs into technical requirements for diagnostic systems, AI engines, APIs, workflow orchestration, and support toolingSupport AI/ML driven capabilities such as case intake assistance, knowledge retrieval, diagnostic reasoning, decision support, validation, and orchestrationDefine and refine requirements for diagnostic evidence collection, including DTCs, PIDs, Freeze Frame data, logs, event traces, module state, and procedural outcomesSupport design of systems that combine Ford engineering knowledge, diagnostics data, and AI reasoning to isolate likely root causes in embedded vehicle systemsParticipate in evaluation and validation of AI system behavior using diagnostic evidence, service data, engineering content, and observability signalsWork with internal teams and suppliers to integrate containerized AI solutions into cloud environments and workflow systemsHelp define observability requirements for diagnostic systems, including logs, metrics, traces, dashboards, alerts, and escalation workflowsParticipate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solvingSupport rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environmentsCommunicate technical tradeoffs, risks, and recommendations clearly to engineering teams, product teams, and leadershipWork under the guidance of experienced engineers Gather and document user or business requirements, analyze current processes,



and translate needs into functional specificationsUnderstand or help document how systems and components fit together, including integrations, data flows, and technology choicesParticipate in the stages of system delivery, from requirements and design through development, testing, deployment, and maintenanceHelp define system requirements and ensure components work together to meet performance, reliability, and operational needsHelp prioritize features, maintain a product backlog or roadmap, and coordinate with stakeholders and development teamsREQUIRED SKILLS & QUALIFICATIONSBachelor's or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field from an accredited university (or a WES-evaluated equivalent)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 workStrong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelinesStrong proficiency in PythonFamiliarity with AI/ML prototyping and engineering workflows, including training, inference, prompt-based systems, retrieval-augmented workflows, embeddings, ranking, or reasoning pipelinesFamiliarity with software engineering fundamentals, APIs, Git-based development, and containerized application workflowsInterest in embedded systems, vehicle diagnostics, software-defined vehicles, and intelligent support workflowsAbility to translate ambiguous problem statements into structured technical requirements and system behaviorStrong written and verbal communication skills and requirements authoring with the ability to drive high level abstract conversations with leadershipDemonstrated ability through coursework, research, internships, or projects to build or prototype AI/ML enabled systemsSystems Development Life Cycle, Software Systems, Systems Engineering, Product Management, Systems Architecture, Systems Analyst, Software SystemsUnderstand how an application's components work together,



and help troubleshoot issues across the systemPREFERRED SKILLS & QUALIFICATIONSUnderstand 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 neededUse Google Cloud services to deploy or support an application, store data, or monitor a cloud-based systemWrite or maintain basic Python scripts for automation, data processing, or application functionalityWrite or maintain Java code for application features, business logic, and error handlingHands‐on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systemsExperience 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 systemsFamiliarity with evaluation of AI systems for grounding, confidence, traceability, explainability, and policy complianceFamiliarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologiesExposure to DTCs, PIDs, Freeze Frame data, logs, vehicle network data, or diagnostic workflowsFamiliarity with GCP, Docker, GitHub, CI/CD, and observability tools such as Dynatrace or GrafanaExperience through internships, research, or projects involving distributed systems, platform integration, or cloud-native servicesAbility to work well in a collaborative, agile environment with software, embedded, cloud, AI, and product teamsStrong curiosity, ownership mindset, and willingness to learn quickly in a technically demanding domainCOMPENSATION & BENEFITS$52.00 - $56.00/hour (depending on experience)Paid Benefits after 90 days (individual and family) – extended medical, out-of-country coverage, dental etc.Pension eligibility, with employer match, after 1 full year of work (open enrollment every October)MEDA offers an excellent referral bonus. Outstanding candidates know great candidates.MEDA Limited is an equal opportunity employer and does not discriminate in employment on the basis of any of the protected reasons as described in the Ontario Human Rights Code. We are committed to providing accommodation for persons with disabilities, as described in the Accessibility for Ontarians with Disabilities Act, 2005, reasonable accommodation requests will be reviewed and granted to those that request assistance during our hiring process.

📌 Technical Program & Project Management Associ (Riviere-des-Prairies—Pointe-aux-Trembles)
🏢 Meda Engineering & Technical Services
📍 Riviere-des-Prairies—Pointe-aux-Trembles