UptimeAI

Implementation Engineer

UptimeAI
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over 1 year ago
Bengaluru, IndiaMid Level

Responsibilities

  • Support technical discovery, requirements gathering, and model-building preparation.
  • Review P&IDs, PFDs, and performance and efficiency calculations to perform tag mapping.
  • Deploy models into customer environments according to customer needs.
  • Define and execute validation and quality-assurance steps for deployed models.
  • Collaborate with Project Managers and Technical Consultants to meet implementation timelines and quality benchmarks.
  • Provide structured product feedback and identify automation opportunities to improve deployment efficiency.
  • Develop domain knowledge and implement repeatable best practices.

Requirements

  • At least 2 years of hands-on experience deploying analytics solutions, ML, or rule-based models.
  • Ability to define and execute validation steps to ensure model accuracy and output reliability.
  • Familiarity with process documentation, checklists, and scalable repeatable workflows.
  • Strongly preferred: experience implementing industrial AI/ML solutions in manufacturing, oil and gas, or chemical environments.
  • Preferred: exposure to RCM, FMEA, condition monitoring, or predictive maintenance.
  • Preferred: experience mapping sensor tags from DCS, SCADA, or Historians to platform inputs.

Categories

Solutions Engineering
UptimeAI

About UptimeAI

51-200 employees
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