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AI Integration Specialist; Manufacturing
Job in
Richmond Hill, Ontario, Canada
Listed on 2026-03-01
Listing for:
Onico Solutions
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, Data Engineer, Data Science Manager
Job Description & How to Apply Below
Responsibilities Strategic Assessment & Opportunity Identification Map current manufacturing processes to identify high-impact AI opportunities.
Analyze production data, downtime patterns, bottlenecks, and operational pain points.
Develop business cases for AI-driven improvements with ROI calculations.
Stay current on emerging AI tools, industrial analytics platforms, and automation technologies.
AI Systems Integration & Deployment Lead the implementation of AI tools for: Predictive maintenance and equipment health monitoring
Quality inspection using computer vision
Automated scheduling and workflow optimization
Real-time production analytics and anomaly detection
Demand forecasting and inventory management
Integrate AI solutions with existing ERP, MES, SCADA, PLC, and plant-floor systems.
Work closely with Engineering, Operations, and Information Services and Technology, to ensure seamless deployment.
Data Management & Infrastructure Collaborate with internal and external stakeholders to ensure data is collected, structured, and accessible for AI use cases.
Define and manage data pipelines, dashboards, and reporting systems.
Establish data governance and ongoing model monitoring processes.
Training & Change Management Managers, operators, and supervisors on new AI tools.
Develop SOPs and training material for AI-enabled workflows.
Serve as the internal advocate and cultural champion for AI adoption across facilities.
Vendor and Partner Management Evaluate potential partners, software platforms, and integrators.
Manage pilot programs and vendor relationships.
Ensure all solutions meet security, compliance, and scalability requirements.
Qualifications Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field.
3–7 years of experience with AI, data analytics, or industrial automation.
Experience with programming tools such as Python, R, or C++.
Experience with AI modeling tools such as Tensor Flow or Py Torch
Experience with cloud services such as AWS and Amazon Q, GCP and Gemini, or Azure and Copilot.
Understanding of manufacturing systems (SCADA, PLCs, MES, ERP).
Familiarity with industrial data pipelines, IoT devices, sensors, and data modeling.
Familiarity with NLP, reinforcement learning, Computer Vision
Strong skills in data analytics, visualization, and dashboard creation.
Excellent problem-solving abilities and a practical, hands-on mindset.
Strong communication skills; able to translate technical concepts for non-technical teams.
Ability to work cross-functionally and drive change in a production environment.
Entrepreneurial mindset and eagerness to explore new technologies.
This is a permanent role with an annual salary of $ – $ plus benefits located in Vaughan, ON.
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