AI-Driven Continuous Improvement Engineer

FGF Brands; Canada; On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Home Grown Talent

Health benefits

RRSP matching

Tuition reimbursement

Discount program

Job summary

FGF Brands, a naan traditional company in Canada, seeks an AI-enabled CI Engineer to harness AI for data collection, pattern recognition, and hypothesis generation while combining floor-level experience to design experiments and implement improvements.

You will lead the creation of dashboards, drive data-driven improvements, and coach teams on Lean Six Sigma and responsible AI usage to boost productivity, quality, and service levels across lines.

Qualifications

• Bachelor's degree in Engineering, Operations & Supply Chain, Data Analytics, or a related field.
• 2–4 years in manufacturing, operations, or continuous improvement.
• Hands-on with AI tools (Claude, Copilot, GPT) to accelerate analysis, pattern recognition, and decision-making.

Responsibilities

• Identify and prioritize high-impact improvement opportunities using AI-driven analytics (forecasting, anomaly detection, pattern recognition) with Lean Six Sigma.
• Validate and refine data-driven insights through Gemba walks and direct observation for operational relevance.
• Own the design and delivery of decision-oriented dashboards and automated insights translating data into actionable signals for faster decisions.

Skills

AI tools

Lean Six Sigma

Data analytics

Communication

Education

Bachelor's degree in Engineering, Operations & Supply Chain, Data Analytics

Tools

Power BI

AI platforms (Claude, Copilot, GPT)

Job description

FGF Brands, a naan traditional company in Canada, seeks an AI-enabled CI Engineer to harness AI for data collection, pattern recognition, and hypothesis generation while combining floor-level experience to design experiments and implement improvements.

You will lead the creation of dashboards, drive data-driven improvements, and coach teams on Lean Six Sigma and responsible AI usage to boost productivity, quality, and service levels across lines.