AI-Powered Facilities Engineer (ELV & IIoT)

MICRON MEMORY MALAYSIA SDN. BHD.; Batu Kawan; On-site; MYR 90,000 - 140,000; Full time

Job summary

Micron Memory Malaysia Sdn. Bhd. seeks a Facilities Engineer to lead AI-driven reliability improvements across UPS, access controls, PA, data networks, and solar systems.

You will deploy AI/IIoT technologies, build dashboards, and optimize maintenance strategies with Digital Twin support. Ideal candidates have a strong background in AI/ML, data analytics, and industrial automation, plus experience coordinating with IT, cybersecurity, and global facilities teams.

Qualifications

• Degree in Telecommunication or Electrical/Electronic Engineering or equivalent.
• Experience supporting facilities systems such as UPS, Access Control, PA, Data Networks, Solar Monitoring, PQMS, FMCS, BMS, SCADA, or Smart Building Systems.
• Knowledge of AI, ML, Data Analytics, IIoT, Digital Twin, or Predictive Maintenance methods.
• Experience with Power BI, SQL, Python, Tableau, Ignition, SCADA, FMCS, BMS, or similar analytics tools.
• Strong analytical and problem-solving skills; familiarity with 8D, FMEA, RCA, Fishbone, and statistics.
• Experience managing contractors and cross-functional engineering projects.
• Good understanding of Industry 4.0, cybersecurity awareness, and digital facility transformation.
• Basic knowledge of AutoCAD.

Responsibilities

• Develop and implement AI-enabled predictive maintenance solutions to monitor equipment health and predict failures of UPS systems, VFDs, battery systems, power distribution equipment, network infrastructure, and critical facility assets before operational impact occurs.
• Utilize AI-based analytics tools to identify abnormal equipment behavior, power quality disturbances, utility consumption trends, and potential risks, enabling proactive maintenance and operational decisions.
• Build and maintain real-time dashboards and visualization platforms using FMCS, BMS, PQMS, solar monitoring, and facility databases to improve system visibility and data-driven decision making.
• Apply machine learning and advanced analytics to optimize preventive maintenance intervals, spare parts inventory management, asset lifecycle planning, and contractor productivity.
• Support development of Digital Twin models for facility infrastructure to improve capacity planning, scenario simulations, energy optimization, and risk assessment.
• Drive smart facility initiatives through intelligent alarming systems, automated fault detection, predictive diagnostics, and autonomous monitoring technologies.
• Leverage Generative AI and engineering copilots to improve engineering productivity, technical troubleshooting, root cause analysis, SOP development, engineering documentation, and operational reporting.
• Collaborate with Automation, IT, Cybersecurity, and Global Facilities teams to implement secure AI and cloud-based solutions in accordance with corporate digital governance requirements.
• Follow all EHS procedures to ensure compliance with applicable regulations and ensure all contractors comply to Micron EHS requirements.

Skills

AI

Machine Learning

Data Analytics

IIoT

Digital Twin

Predictive Maintenance

Power BI

SQL

Python

Tableau

Ignition

SCADA

FMCS

BMS

8D Methodology

FMEA

RCA

Fishbone Analysis

Statistical Techniques

AutoCAD

Independent Work

Education

Bachelor’s degree in Telecommunication, Electrical / Electronic Engineering, or equivalent field

Tools

Power BI

SQL

Python

Tableau

Ignition

SCADA

FMCS

BMS

AutoCAD

Job description

Micron Memory Malaysia Sdn. Bhd. seeks a Facilities Engineer to lead AI-driven reliability improvements across UPS, access controls, PA, data networks, and solar systems.

You will deploy AI/IIoT technologies, build dashboards, and optimize maintenance strategies with Digital Twin support. Ideal candidates have a strong background in AI/ML, data analytics, and industrial automation, plus experience coordinating with IT, cybersecurity, and global facilities teams.