Concept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT.
The Industry 4.0 Engineer will lead the design, implementation, and optimization of smart manufacturing systems and processes. This role focuses on integrating advanced technologies such as IoT, automation, big data analytics, artificial intelligence, and cyber-physical systems to enhance operational efficiency, productivity, and innovation. The ideal candidate is a proactive problem-solver with a strong technical background and a passion for digital transformation.
Responsibilities
Design and implement Industry 4.0 solutions, including IoT devices, automation systems, and digital twins, to optimize manufacturing processes
Develop and deploy data analytics platforms to monitor real-time performance, predict maintenance needs, and improve decision-making
Analyze existing processes and recommend improvements using Industry 4.0 technologies to reduce waste and increase efficiency
Work with AI, IT, operations, and engineering teams to align Industry 4.0 initiatives with business goals
Provide training to staff on new systems and technologies, ensuring smooth adoption and operation
Stay updated on emerging Industry 4.0 trends and technologies to drive continuous improvement
Minimum Requirements
US citizen or green card holder per client requirements
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science, or a related field
3-5 years of experience in manufacturing, automation, or industrial engineering, with at least 2 years focused on Industry 4.0 technologies
Proficiency in IoT platforms (e.g., MQTT, OPC UA), UNS, and industrial communication protocols
Experience with automation tools (e.g., PLC programming, HMI, MES, SCADA systems)
Knowledge of data analytics tools (e.g., Python, R, SQL) and machine learning frameworks
Familiarity with cloud platforms (e.g., AWS, Azure, Snowflake) and digital twin technologies
Understanding of cybersecurity principles for industrial systems
Preferred Qualifications
Certification in Industry 4.0, IoT, Ignition Core/Gold, or AWS Cloud Practitioner
Experience with manufacturing in industrial applications
