• Design, develop, and deploy robust AI computer vision systems to automate and enhance Quality Control (QC) and Quality Assurance (QA) processes across various industries.
• Seamlessly integrate your computer vision models and algorithms with our in-house software platform and robotic systems.
• Lead R&D initiatives by exploring, prototyping, and implementing state-of-the-art algorithms and techniques in object detection, image segmentation, and deep learning
• Maintain and optimize existing vision systems for improved performance, accuracy, and scalability.
• Collaborate with software engineers, robotics specialists, and project managers to deliver end-to-end solutions that solve real-world industrial challenges.

• Education: A Bachelor’s degree in Computer Science, Robotic Engineering, or Software Engineering with a CGPA of 3.4 and above.
• Experience: Proven hands-on experience in developing and deploying computer vision models.
• Core Technical Proficiency: Strong proficiency in Python and extensive experience with core libraries such as OpenCV, NumPy, and Scikit-learn.
• Deep Learning Frameworks: In-depth knowledge of deep learning frameworks, particularly PyTorch, with TensorFlow as an added bonus.
• Foundational Knowledge: Solid theoretical and practical understanding of machine learning principles and image processing techniques (e.g., filtering, feature extraction, morphological operations).
• Creative Problem-Solver: A creative and analytical mindset with a passion for solving complex problems.
• 3D Vision Expertise: Experience with 3D computer vision, point clouds, or depth sensing technologies.
• Proactive & Versatile: Proactive, eager to learn, and comfortable working in both indoor and outdoor environments.
• Adaptable & Agile: Thrive in a fast-paced R&D setting and are adaptable to evolving project requirements.

• Working with various packaging machinery and troubleshooting problem.
• Perform hands-on installation, wiring, and commissioning of control panels, PLCs, and field devices.
• Develop and implement small-scale IoT solutions for machine monitoring and data collection.
• Read and interpret electrical schematics and technical diagrams for installation and fault-finding purposes.

• Education & Experience:Bachelor’s Degree in Mechatronics Engineering with some experience / Diploma with 2 years experience in engineering field.

• Design, program, test, and commission PLC-based control systems for new and existing machinery.
• Integrate and configure various industrial devices, sensors (analog/digital), and instruments using communication protocols like Modbus TCP/IP and RTU.
• Perform hands-on installation, wiring, and commissioning of control panels, PLCs, and field devices, including three-phase digital power meters.
• Develop and implement small-scale IoT solutions for machine monitoring and data collection.
• Troubleshoot and resolve issues with control systems, electrical wiring, and automation hardware to minimize production downtime.
• Read and interpret electrical schematics and technical diagrams for installation and fault-finding purposes.
• Create and maintain comprehensive technical documentation, including wiring diagrams, project reports, and system manuals.
• Adhere strictly to all company and industry safety standards, especially when working with single-phase and three-phase power systems.
• Collaborate with the engineering and production teams to define project requirements and ensure successful implementation.
• Ability to develop the overall system architecture and process flow for system integration projects, translating the concept into a 3D visual layout to verify equipment placement, clearances, and key dimensions.

• Education:Bachelor’s Degree in Electrical Engineering, Mechatronics Engineering, or a related discipline with 3.4 CGPA and above. (A diploma with significant relevant experience, or certification from a recognized upskilling/reskilling program in a relevant field, will also be considered)
• Experience:1-2 years of professional experience in an industrial automation, electrical engineering, or a related field.
• PLC Proficiency:Demonstrable experience in programming at least one major PLC brand (e.g., Siemens, Omron, Mitsubishi, Allen-Bradley, Kostac)
• Electrical Knowledge:Strong understanding of electrical principles, circuits, and components. Must be confident and capable of performing hands-on wiring and working safely with industrial voltage systems (230V/415V).
• Problem-Solving: Excellent analytical and troubleshooting skills with a detail-oriented mindset.
• Attitude:Proactive, eager to learn, and comfortable working in both an office and a factory floor environment.
• Flexible and Adaptable:Thrive in a fast-paced R&D setting and are adaptable to evolving project requirements

• Experience with HMI or SCADA development.
• Familiarity with IoT platforms and data logging.
• Familiarity with machine vision systems, with demonstrated ability to specify, configure, and integrate vision hardware (e.g., cameras, optics, and illumination) to solve real-world inspection and guidance tasks.
• Experience in a manufacturing or production environment.

Software/Devops Engineer (CONTRACT) (RM3600 – RM5000)


Key Responsibilities

• Building and maintaining integrations with third-party APIs, platforms, and services.
• Designing and developing backend services and tools in multiple programming languages (e.g., Python, JavaScript/Node.js, Go, or C#).
• Contributing to data analytics pipelines, including data processing, transformation, and reporting.
• RImplementing and improving CI/CD pipelines to support faster, more reliable deployments.
• Working with cloud environments (AWS, Azure, or GCP) to build scalable and secure systems.
• Collaborating with teams to troubleshoot, optimize, and automate workflows across the company.

Qualifications and Skills

• Education:Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field — or equivalent 1 year practical experience.
• Problem-Solving:Flexible and enjoys working on diverse projects rather than being tied to a single language or framework.
• Programming Fundamentals:Strong skills in at least two languages (e.g., Python, JavaScript, Java, C#, or Go).
• Integration Skills: Comfortable working with APIs, integrations, and data workflows.
• DevOps Knowledge:Familiar with CI/CD pipelines, containers (Docker, Kubernetes), and cloud platforms.
• Flexible and Adaptable:Able to learn new tools quickly and adjust to evolving business needs.
• Communication: Strong communicator who can collaborate with both technical and non-technical teams.