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
About UptimeAI
UptimeAI builds AI reasoning agents for industrial operations that analyze plant data to detect issues, recommend actions, and optimize reliability and performance. The company sells its software to heavy process industries, including oil and gas, power generation, chemicals, and cement, for predictive and prescriptive maintenance and operations guidance. Founded in 2019 and headquartered in San Francisco, it is privately held.