AI Engineer- Asset Management ENERFLEX LTD

Employer Active

Posted 9 hrs ago

Experience

3 - 5 Years

Education

Bachelor of Science(Computers), Master of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

  • Design, develop, and deploy AI applications to support:
    • Predictive and preventive maintenance
    • Asset life extension strategies
    • Operational cost reduction
    • Equipment safety and reliability
  • Leverage LLMs/SLMs for intelligent automation and decision support
  • Collaborate with cross-functional teams to identify AI opportunities
  • Work within Azure cloud environments and integrate with Microsoft Copilot tools
  • Ensure all work complies with company policies, procedures, and confidentiality standards
  • Provide structured, timely updates and reports on project progress
  • Explore and evaluate emerging AI technologies and methodologies
  • Demonstrate flexibility in adapting to evolving project needs and priorities

Desired Candidate Profile

  • Bachelor s or Master s degree in Computer Science, AI, Data Science, Engineering, or a related field
  • Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments
  • Proficiency in programming languages such as Python, R, or similar
  • Experience working with Azure cloud services and AI tools
  • Familiarity with Microsoft Copilot and its integration into enterprise workflows
  • Strong communication skills in English (written and verbal)
  • Ability to work independently while maintaining alignment with team goals
  • Willingness to travel internationally as required
  • Adherence to strict confidentiality and data protection standards
  • Structured reporting and documentation practices
  • Collaborative and proactive mindset
  • Commitment to continuous learning and innovation
  • Preferred Skills:

  • Experience with asset management systems or industrial operations in gas compression and gas processing industry
  • Knowledge of maintenance management frameworks (e.g., RCM, CBM)
  • Understanding of data governance, security, and compliance in AI applications
  • Ability to translate business needs into technical solutions

Company Industry

Department / Functional Area

Keywords

  • AI Engineer- Asset Management

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