• The task will focus mainly on electrical maintenance and handling PLC.• Drawing electrical or mechanical schematics to demonstrate how processes will work.• Developing and installing machine programs using automation software and custom coding languages.• Determining machine automation test criteria before the final installation.• Testing automated systems for efficiency, safety, and reliability.• Troubleshooting system errors.• Overseeing the successful installation of PLC programs.• Ensuring compliance with specifications, codes, or customer requirements by directing or coordinating installation, manufacturing, construction, maintenance, documentation, support, or testing activities.• Writing reports and compiling data regarding existing and potential electrical engineering projects and studies.• Preparing specifications for purchases of electrical equipment and materials.• Estimating material, labor, or construction costs for budget preparation.• Maintaining electrical equipment.• Working with a variety of technicians.
Responsible for ensuring aircraft availability on daily basis for timely scheduled departure towards effective maintenance.
To ensure aircrafts are available to meet network demand from operations perspective on daily basis up to 48 hours.
To load task against the available resources in Line Maintenance Operation (LMO) / Line Maintenance Stations. To check all tasks are within target and rectified within efficient timescales.
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Drive the high-level architecture and system-level engineering for comprehensive aerospace and ground-to-air communications frameworks
Define technical solutions encompassing VHF, UHF, and HF radio systems alongside remote transmission site architectures and centralized operations hubs
Establish robust technical designs that comply fully with global operational, safety, and regulatory standards
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Stay current with the latest functional and technical capabilities of the Blue Yonder (BY) application and the KN SwiftLOG platform—including architecture, configuration options, APIs, and customization features—to identify software solutions that meet specific business needs.
Perform EDI Paper Mapping and Design technical message flow between WMS and Customer system as well as Automation Systems.
Perform unit testing of developed components based on detailed designs, acceptance criteria, and test cases.
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Stay current with the latest functional and technical capabilities of the Blue Yonder (BY) application and the KN SwiftLOG platform—including architecture, configuration options, APIs, and customization features—to identify software solutions that meet specific business needs.
Perform EDI Paper Mapping and Design technical message flow between WMS and Customer system as well as Automation Systems.
Perform unit testing of developed components based on detailed designs, acceptance criteria, and test cases.
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Develop knowledge of current and foundational automation, electrical and instrumentation engineering policies, procedures and job aids.
Assist the execution of identifying, monitoring and implementing automation, electrical and instrumentation engineering standards, policies, procedures and job aids.
Support the development of new standards and procedures by setting up tools and reporting mechanisms to monitor the performance.
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Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.
Join us on our journey for a better tomorrow.
We are hiring a Mechatronic Engineer to join our team in Malaysia. This is an opportunity to work in a customer focused enevironment where your technical skills and agility in the field will develop rapidly. the role involves independent working with applications encouraged from agile applicants who can work alone and adapt in changing customer focused environments.
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Role Overview: We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and implement AI-driven solutions for our drone and AGV systems. You will play a crucial role in advancing our AI capabilities, focusing on machine learning models, computer vision, and predictive analytics to enable smarter, more autonomous systems. Key Responsibilities: Develop AI Solutions: Design, train, and implement machine learning models, including deep learning, reinforcement learning, and predictive algorithms for autonomous systems. Optimize Performance: Enhance AI-driven systems to improve navigation, object recognition, decision-making, and overall performance of drones and AGVs. Integrate AI with Robotics: Collaborate with hardware and embedded software teams to seamlessly integrate AI models into robotics systems. Data Management: Collect, preprocess, and analyze large datasets to develop robust AI solutions. Research & Innovation: Stay updated with the latest AI and robotics trends, tools, and methodologies, ensuring Meraque remains at the forefront of technology. Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments to ensure reliability and accuracy. Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results for knowledge sharing and reference. Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Robotics, or any related field. At least 2–4 years of experience working in AI, machine learning, or robotics engineering. Proficiency in TensorFlow, PyTorch, or similar machine learning frameworks. Strong understanding of machine learning algorithms, neural networks, and computer vision techniques. Experience in designing and training deep learning models for tasks such as object detection, image recognition, and natural language processing. Knowledge of robotics middleware (e.g., ROS, OpenCV) and real-time systems integration. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. Strong mathematical foundation in linear algebra, probability, and optimization techniques