• Implement Industrial APM, predictive maintenance, and reliability solutions for customer sites. • Review engineering documents such as P&IDs, PFDs, equipment datasheets, manuals, and historian tag lists. • Perform asset-to-tag mapping, data validation, and process-context mapping. • Understand and validate process equipment including pumps, compressors, turbines, boilers, heat exchangers, motors, and rotating equipment. • Work with DCS, SCADA, PLC, and historian data systems. • Support reliability engineering activities including RCM, FMEA, condition monitoring, RCA, and predictive maintenance workflows. • Coordinate with customer engineering, maintenance, operations, and digital teams during implementation. • Prepare implementation documents, validation reports, mapping sheets, and project updates. • Travel to customer sites whenever required. Requirements • 3–5 years of experience in Industrial APM, reliability engineering, process engineering, industrial analytics, or digital transformation projects. • Experience in Oil & Gas, Power, Chemicals, Cement, or Process Industries. • Good understanding of industrial processes and equipment behaviour. • Ability to read and understand P&IDs, PFDs, datasheets, manuals, and tag lists. • Exposure to DCS/SCADA/PLC/Historian systems. • Knowledge of condition monitoring, predictive maintenance, RCM, FMEA, and RCA concepts. • Strong Excel and data validation skills. • Good communication and customer coordination skills. Preferred Skills • Experience with APM or Predictive Maintenance platforms. • Exposure to OSIsoft PI / AVEVA PI, Aspen IP.21, Honeywell PHD, GE Historian, or similar systems. • Familiarity with Honeywell, Emerson, Siemens, ABB, Yokogawa, Schneider, or Rockwell DCS systems. • Exposure to SAP PM, IBM Maximo, or other CMMS platforms. • Experience in power plant systems or rotating equipment monitoring is an added advantage. • Basic understanding of industrial analytics, dashboards, or ML-based monitoring systems.