Advanced Project Engr

Honeywell · Industrial · Pune, Maharashtra, India

This role focuses on designing and implementing Asset Performance Management (APM) solutions, specifically building performance and analytical models for industrial equipment and processes using R, Python, and Machine Learning tools. The engineer will be responsible for the technical delivery of projects, creating design documents, managing customer interactions, and ensuring solutions are integrated with other systems.

What you'd actually do

Design and build performance and analytical models for new equipment types.
Design and build models for process scenarios.
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.

Skills

Required

10+ years of experience in designing and implementing APM solutions
Excellent understanding of unit operations and processes in chemical process industries
Ability to build equipment/process performance models using thermodynamic and 1st principles
Experience with R, Python, or other Machine Learning tools
Experience writing SQL queries and stored procedures
Experience with integration using OPC, OLEDB, ODBC, and web services
Experience implementing APM solutions (Aspen M-Tell, GE Smart Signal, AVEVA APM, etc.)
Understanding of various Analytic software
Experience developing analytic algorithms for customized prediction models

Nice to have

Good understanding of Industry standards in APM space
Experience in operations, maintenance & diagnosis of failures for key operating equipment’s
Understanding and implementation knowledge of RCM, FMEA, RCA
Experience with Honeywell or third-party applications for data visualization

What the JD emphasized

10+ years’ experience in designing and implementing APM solutions for refining, petrochemical, mining, power, or other chemical industries
Able to build equipment/process performance models using thermodynamic and 1st principles.
Working experience of R, Python or other Machine Learning tools.
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.

Other signals

design and build performance and analytical models
design and build models for process scenarios
develop analytic algorithm for customized prediction model

Read full job description

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.

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.