IoT Engineer

We are seeking an experienced IoT Engineer to join our team and lead the integration and deployment of IoT solutions in the manufacturing sector. The ideal candidate will be responsible for developing, deploying, and maintaining IoT systems that enhance operational efficiency, predictive maintenance, and real-time monitoring across manufacturing processes. Key Responsibilities: IoT Solution Design and Development: Design and implement scalable IoT solutions for manufacturing operations. Integrate IoT devices with cloud platforms for real-time data collection and analysis. Device Connectivity and Integration: Connect sensors, machines, and devices to IoT platforms. Ensure seamless communication between IoT devices and enterprise systems (ERP, MES). Data Collection and Analytics: Develop systems for data acquisition from industrial equipment. Work with data scientists to enable predictive maintenance and performance optimization. Security and Compliance: Ensure IoT systems comply with security standards and best practices. Implement data encryption and secure communication protocols. Testing and Troubleshooting: Perform rigorous testing of IoT systems. Monitor and troubleshoot network and device connectivity issues. Collaboration and Support: Work closely with cross-functional teams, including operations, IT, and engineering, to align IoT projects with business goals. Provide training and technical support to the operations team. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, or related field. Experience: Minimum [X] years of experience in IoT development, especially in the manufacturing domain. Technical Skills: Strong knowledge of IoT protocols (MQTT, CoAP, HTTP) and communication standards (ZigBee, LoRa, BLE, etc.). Experience with cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT). Hands-on experience with embedded systems, microcontrollers, and sensor integration. Proficiency in programming languages like Python, C/C++, Node.js, or Java. Familiarity with PLCs, SCADA systems, and industrial automation. Knowledge of data analytics tools and visualization platforms. Soft Skills: Strong problem-solving abilities and analytical thinking. Excellent communication and collaboration skills. Adaptability to work in a fast-paced manufacturing environment.

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