Supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Leads industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co‑extrusion processes.
Collaborates with cross‑functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems.
Develops and maintains data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collects, validates, and manages production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Designs, develops, and optimizes machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline
Lead quality efforts for machine learning‑powered products and services, building scalable test automation and validation approaches.
Locations (2)
Madison, Wisconsin, United States
Waterloo, Ontario, Canada
Compensation
$152,000—$190,000 USD
Responsibilities
Drive architecture‑level automation solutions and scalable quality engineering practices across multiple teams and product areas.
Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
Perform functional, integration, regression, API, performance and load testing to verify inference service scalability, latency requirements and reliability under production‑like conditions
Responsible for administration, stability, and security of Azure environments, supporting development and support teams, ensuring reliability and performance of systems.
Locations (2)
Montreal, Quebec, Canada
Quebec City, Canada
Responsibilities
Work with development and support teams to support their environments
Install, configure, patch, and upgrade servers, databases, and infrastructure components
Diagnose and resolve production incidents
Manage accounts, access controls, certificates, and compliance
Apply infrastructure as code and GitOps best practices
Requirements
Bachelor’s degree in computer engineering or information technology, or a college diploma
Nice to have: Cloud (Azure) or systems administration certifications
Nice to have: Relevant experience in product development
Nice to have: Knowledge of infrastructure as code and GitOps tools (OpenTofu, Terraform, FluxCD, ArgoCD)
Co-Op Student in Asset Management supporting power system studies and engineering reports.
Compensation
Hourly rate $23.56 + OMERS Pension Plan
Responsibilities
Support distribution engineering in performing power system studies such as load flows, short circuits, and protection coordination studies.
Prepare technical reports on engineering topics such as power system capacity planning, load forecasting, system reliability performance, regional engagements, and meeting general meeting minutes.
Assist engineers in reviewing standards related to stations, overhead, and underground distribution systems.
Participate in regional planning meetings with Hydro One, Independent Electricity System Operator, and municipal stakeholders.
Assist distribution engineers in the development of models on CYME software.
Requirements
Enrolled in a post-secondary Electrical Engineering or Technician program with a focus on Power Systems, or Sustainable Energy
Coordinate the Milk/Formula Handling Room, managing policies, procedures, staff, inventory, and financial aspects to support clinical nutrition services.
Compensation
The salary range for this position is CAD $46.52 - $58.07 / hour
Responsibilities
Develop and revise written policy and procedure for area operations
Oversee and direct staff activities in the Milk/Formula Handling Room
Conduct staff meetings and in‑services for training
Audit compliance to policy and procedure
Collaborate with Supply Chain, Finance, and vendor representatives
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