Building Management System (BMS) Manager
Keppel is hiring a Building Management System (BMS) Manager in Singapore, Singapore. Level rates it ; you can apply on Keppel.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 196 other open roles at Keppel.
AI in this role
JOB DESCRIPTION
- To design, develop and implement software solutions for BMS system including chiller systems, HVAC, security, fire alarm and etc.
- To design P&ID diagram
- To collaborate with engineering team to gather requirements and specification of BMS
- To write, debug and test the code to control and integrate with the existing BMS system
- To monitor, troubleshoot and resolve the BMS related issues
- To develop and maintenance manuals of the developed BMS system including codes, logic diagrams and system configurations.
JOB REQUIREMENTS
- Bachelor's degree in Mechanical, Electrical, or Energy related Engineering
- Minimum 8 years experience in the development of BMS for Chiller plants
- Proven track record of the successful delivery of projects
- Strong technical skills and knowledge of industry best practices, standards, and regulations related to Chiller plants
- Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders
- Possess the ability to use data insights to drive system performance improvements
- Possession of Niagara N4 certification is an added advantage, and having experience in BMS programming with Niagara framework and PLC control
#LI-JK1
BUSINESS SEGMENT
InfrastructurePLATFORM
Operating DivisionHow we rate this
Building Management System (BMS) Manager at Keppel rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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