Key Responsibilities
- Lead/Support the technical delivery of the project right from design to closure.
- Create/Support Design documents- FDS, DDS, test procedures and training manuals.
- Lead customer meetings including KOM, design workshops, trainings, and testing.
- Track and manage progress as per schedule. Report progress to all stakeholders on regular basis.
- Design and build performance and analytical models for new equipment types.
- Design and build models for process scenarios.
- Manage customer expectation and ensure delivery within budget and timelines.
- Plan the engineering activities and ensure progress as per plan.
- Address customer issues on time by escalating to the right internal stakeholders
- Follow the Company defined standard practices and methods
- Lead monitoring post Go-Live and work closely with customer on value capture
YOU MUST HAVE
- 10+ years’ experience in designing and implementing APM solutions for refining, petrochemical, mining, power, or other chemical industries
- Excellent understanding and knowledge of the unit operations and processes utilized in the chemical process industries.
- Able to build equipment/process performance models using thermodynamic and 1st principles.
- Good understanding of the Industry standards followed in APM space.
- Experience in operations, maintenance & diagnosis of failures for key operating equipment’s like Pumps, Compressors, Turbines, Heat Exchangers, Furnaces and similar rotary/static equipment.
- Understanding and implementation knowledge of APM modules like Reliability Centered Maintenance (RCM), Failure mode and effects analysis (FMEA), Root Cause Analysis (RCA) etc.,
- Working experience of R, Python or other Machine Learning tools.
- Experience in writing SQL queries and stored procedures
- Working experience of integration with other systems using OPC, OLEDB, ODBC and web services.
- Experience in implementing APM using Aspen M-Tell, GE Smart Signal, AVEVA APM, Expert Microsystems SureSense or similar APM solutions.
- Understanding of various Analytic software like SureSense, custom analytic in Python, etc.
- Type of algorithm use for analyzing data & suggest best possible match/result.
- Review history data and suggest when exactly fault has occurred.
- Comfortable to develop analytic algorithm for customized prediction model.
- Interfacing Analytic model with Honeywell or third-party applications for data visualization.