Advance Process Control Engineer

135 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About FLSmidth :

For more than 135 years, FLSmidth has challenged conventions and explored opportunities. Across more than 50 countries, we are 12,000 employees who combine our unique process knowledge on projects, products and services to drive success. We are the market-leading supplier of engineering, equipment and service solutions to customers in the global mining and cement industries.

About the Role :

You will be the part of FLSmidth’ s Process Optimisation Team that use FLSmidth’ s ECS/ProcessExpert® APC Toolbox [available with advanced controlling techniques like Model predictive control (MPC), Fuzzy Logic and Soft Sensors] to create online applications to improve the customer’s manufacturing processes. This involves extensive travelling and involves high level of technical expertise and customer handling skills.

Qualification:

  • Any Degree in Instrumentation/Chemical/Electronics Engineering.

Experience:

  • 2 - 8 years

Job Responsibility :

  • You will be involved in conducting process analysis to estimate potential of improvement through ECS/ProcessExpert® APC Toolbox implementation.
  • You will be responsible for Designing, developing, testing and deploying APC Solution as per identified requirement of various equipment-based process applications.
  • You will be responsible for establishing, identifying, and implementing process control strategies/philosophies as required.
  • You will be involved in Establishing communication between existing control system and ECS/ProcessExpert® APC Toolbox system through OPC (DA/UA) or directly through PLC interface.
  • You will be involved in Conducting step test and model identification.
  • You will be involved in Fine tuning of controllers in MPC/Fuzzy/PID and implementing innovative technical ideas with process knowledge to achieve performance guarantee to increase productivity and decrease fuel and power consumption.
  • You will be involved in providing training to customer and prepare and provide site specific manual to ensure continuous operation of ECS/ProcessExpert® APC Toolbox.
  • You will be involved in carrying out analytical control measures and analysis to establish improvement in efficiency of plant operation after implementation of ECS/ProcessExpert® APC Toolbox and preparing detailed report and case story.
  • You will be responsible for maintaining professional customer relationship and providing remote support after commissioning to maintain the healthiness of ECS/ProcessExpert® APC Toolbox
  • You will be involved in evaluating new developments in advanced process control technology and interacting with development team for software improvements.
  • You will cover all aspects of the technical implementation in APC project including supporting hardware purchase, software installation, systems integration, engineering, commissioning, coordination with PM, managing customer needs and complete deliverables on schedule.
  • Your role is predominantly a project operations role; however, you may work across the full project lifecycle, including:
  • Sales Support
  • Solution Development
  • Project Execution
  • Post-Implementation Analysis
  • It Involves visit to sites for the implementation purposes.

Required knowledge/competencies:

  • Some manufacturing experience in the process industries. Knowledge of cement plant and minerals process will be an added advantage.
  • Strong interest in automation, process control and advanced model- predictive applications.
  • Experience with industrial computing, networking, OPC and ODBC/SQL data communications.
  • Experience with DCS and/or PLC configuration, especially in the context of integration with external applications.
  • Exposure to advanced process control implementation.
  • Must be willing and able to travel between 40% to 70% of the time. International assignments are likely.
  • Self-motivated with excellent interpersonal, communication and organizational skills.
  • Knowledge of Python, Machine learning algorithms and deep learning will be an added advantage.
  • Should be a team player.

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