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Concept Reply US

Industry 4.0 Engineer

Concept Reply US, Detroit, Michigan, United States, 48228

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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

U.S. 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.

Job Details

Seniority level: Not Applicable

Employment type: Full‑time

Job function: Engineering and Information Technology

Industries: Transportation, Logistics, Supply Chain and Storage

Reply is an equal opportunity employer. We are committed to providing 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 jobusa@reply.com. Visit our website at www.reply.com 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. 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.

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