IoT & AI Engineer: Solar Energy & Smart Grid Solutions

Agensi Pekerjaan Genie Hunt Talent; Petaling Jaya; On-site; MYR 90,000 - 150,000; Full time

Job summary

Genie Hunt Talent seeks an IoT & AI Engineer to develop intelligent energy solutions for solar PV, ESS/BESS and smart energy infrastructure in Malaysia. You will work on IoT connectivity, edge devices and data pipelines to improve energy reliability and forecasting.

Responsibilities include building end-to-end IoT systems, deploying ML models for forecasting and predictive maintenance, and integrating cloud services with on-site sensors. Proficiency in Python and ML frameworks is preferred.

Qualifications

• Degree in Electrical/Electronics Engineering or related field.
• Experience with IoT devices, embedded systems, gateways or industrial communication.
• Proficiency in Python with ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Develop end-to-end IoT systems for energy sensors, gateways, meters, inverters and BESS.
• Configure and manage data communication.
• Implement edge processing, device management and remote diagnostics.
• Ensure stable data ingestion pipelines from field sites to cloud servers.
• Build AI/ML models for energy forecasting, anomaly detection and predictive maintenance.
• Process large datasets from solar assets, weather sources and IoT sensors.
• Develop automated data pipelines, ETL processes and model deployment workflows.
• Support real-time analytics and recommendation engines for energy optimisation.

Skills

Python

TensorFlow

PyTorch

IoT devices

Edge computing

Cloud IoT services

Education

Electrical/Electronics Engineering or related field

Tools

SCADA/EMS

Job description

Genie Hunt Talent seeks an IoT & AI Engineer to develop intelligent energy solutions for solar PV, ESS/BESS and smart energy infrastructure in Malaysia. You will work on IoT connectivity, edge devices and data pipelines to improve energy reliability and forecasting.

Responsibilities include building end-to-end IoT systems, deploying ML models for forecasting and predictive maintenance, and integrating cloud services with on-site sensors. Proficiency in Python and ML frameworks is preferred.