Reliability Engineer

Resolute Workforce Solutions; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading solutions provider in Toronto is seeking a Reliability Engineer to enhance project success through innovative risk management and predictive maintenance practices. The ideal candidate has over 5 years of experience in reliability engineering and strong expertise in AI / ML. This on-site role includes benefits such as life insurance and healthcare upon successful completion of probation.

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.
• Use AI / ML to analyze complex datasets.
• Identify and eliminate recurring equipment failures.

Skills

Reliability engineering

AI / ML modeling

Data analysis

Problem-solving

Cross-functional collaboration

Education

Bachelor’s degree in Engineering, Reliability, Data Science, or related field

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