Reliability Engineer/Implementation Engineer/APM consultant

Role & responsibilities

• Understand technical scope and Support discovery, requirement gathering, and model-building preparation for efficient development.
• Experience in reviewing and understanding P&IDs, PFDs, and performance & efficiency calculations to perform accurate and comprehensive tag mapping
• Deploy models into customer environments aligned with their specific needs.
• Conduct rigorous validation and quality assurance on all deployed models.
• Collaborate closely with Project Managers and Technical Consultants to meet project timelines and quality benchmarks.
• Provide structured feedback to the Product team to improve functionality, user experience, and deployment speed.
• Identify opportunities to automate repetitive tasks and increase efficiency across the model-building workflow.
• Develop and share domain knowledge and implement best practices to continuously raise the quality bar.
  

Preferred candidate profile

Must Have:

• Hands-on Experience: 2+ years of hands-on Experience deploying analytics solutions, ML, or rule-based models.
• Quality Assurance and Validation Skills: Ability to define and execute validation steps to ensure model accuracy and output reliability.
• Bachelor's in Mechanical, Chemical, Instrumentation, or Industrial Engineering
• Solid grounding in reliability practice RCM, FMEA, RCA, condition monitoring, predictive maintenance
• Working knowledge of process operations in at least one of: Oil & Gas, Refining, Petrochemical, Chemical, or Power Generation
• Ability to Work in a Structured, Scalable Way: Familiar with documenting processes, following checklists, and contributing to repeatable workflows.
  
  

Stong Plus

• Experience in Industrial AI/ML Solutions: Previous implementation of work in AI/ML platforms in manufacturing, oil & gas, or chemical environments.
• Experience with Tag Mapping and Data Integration: Proficiency in reviewing and mapping sensor tags from control systems like DCS/SCADA/Historians to platform inputs.
• Experience with one or more APM or historian platforms: AVEVA PRiSM, AVEVA PI System / PI Vision, GE SmartSignal, Honeywell APM, Bently Nevada System 1, Seeq
• Hands-on experience with asset performance management (APM) platforms, industrial systems, or reliability engineering.