Reliability Engineer

Resolute Workforce Solutions; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading engineering firm based in Toronto is seeking a highly motivated Reliability Engineer. The role involves applying reliability methodologies, utilizing AI/ML for predictive maintenance, and collaborating with Engineering on lifecycle asset management. Candidates must have a Bachelor's degree and at least 5 years of relevant experience. Benefits include life insurance and healthcare coverage.

Benefits

Life Insurance

Accidental Death

Long Term Disability

Dental and Healthcare

Qualifications

• Minimum 5 years of experience in reliability engineering or similar role.
• Strong hands-on experience with AI / ML modeling and data analysis.
• Solid understanding of equipment lifecycle, asset management, and compliance requirements.

Responsibilities

• Apply Reliability and Industry methodologies to reduce risks to capacity.
• Use AI / ML to analyze complex datasets and support predictive maintenance initiatives.
• Identify and eliminate recurring equipment failures through root cause analysis.

Skills

AI / ML modeling

Data analysis

Root cause analysis

Risk mitigation

Cross-functional collaboration

Education

Bachelor’s degree in Engineering, Reliability, Data Science

Tools

RCM

FMEA

RCA

SPC

CMMS

Job description

Resolute Workforce Solutions (Staff augmentation subsidiary of Brevitas Consulting Inc.) is dedicated to helping organizations achieve tangible results and lasting improvements via successful project delivery, continuous process improvement, and effective management of change. Our expertise is in Commissioning & Qualification, Validation, Quality Systems, Regulatory Affairs, Engineering, and Project Management.

We are looking for a highly motivated and energetic individual to join our team as a Reliability Engineer in Toronto, ON (On-site).

Responsibilities :

• Apply Reliability and Industry methodologies to reduce risks to capacity, quality, cost, and compliance.
• Use AI / ML to analyze complex datasets and support predictive maintenance initiatives.
• Identify and eliminate recurring equipment failures through root cause analysis and implementation of CAPAs.
• Maintain and manage equipment master data, spare parts, and preventive maintenance documentation.
• Collaborate with Engineering on equipment design, installation, and lifecycle asset management.
• Develop and lead predictive maintenance programs using risk mitigation and non-destructive technologies.
• Address obsolescence issues through risk assessments and parts standardization.
• Support facility shutdowns and ensure safe, efficient maintenance practices.
• Ensure compliance with regulatory standards and promote accurate equipment history tracking.

Qualifications :

• Bachelor’s degree in Engineering, Reliability, Data Science, or related field.
• Minimum 5 years of experience in reliability engineering or similar role.
• Strong hands-on experience with AI / ML modeling and data analysis.
• Proficiency in reliability tools (RCM, FMEA, RCA, SPC, CMMS).
• Solid understanding of equipment lifecycle, asset management, and compliance requirements.
• Excellent analytical, problem-solving, and cross-functional collaboration skills.

Benefits :

Upon successful completion of probation, you will also be enrolled in our benefit programs :

• Life Insurance
• Accidental Death
• Long Term Disability
• Dental and Healthcare