Industry 4.0 Engineer

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 About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $75,000-$125,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job‑related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at View email address on click.appcast.io. Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr Concept Reply US