About the Company:
\nACMA is a leading organization headquartered in Bologna, Italy.\n
As a key player in the consumer goods industry for over 100 years, we specialize in manufacturing packaging machines for a range of sectors, including Food, Personal Care, Home Care, Chemicals and E-Commerce.
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Our business portfolio encompasses a wide range of innovative tailor-made packaging machinery solutions, by working hand-in-hand with customers and partners.
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We strive to continuously expand our offerings and enhance our capabilities to meet the evolving needs of our customers.
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For more detailed information about ACMA and its comprehensive business landscape, please visit www.acma.it/en.
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ACMA is part of Coesia, a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy. Coesia operates in 34 countries with 20 different companies and employs over 8,000 people as of 2023.
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About the Role:
\nWe are looking for a\nMachine Vision Engineer\nto join our\nAutomation & Digital Innovation\nteam. The role will contribute to the development of advanced vision systems and our Industrial IoT ecosystem, supporting key initiatives in process control, quality assurance, predictive maintenance, and data-driven manufacturing.\n
Main Responsibilities
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- Develop, validate, and industrialize machine vision applications from prototype to full-scale production.
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- Collaborate with cross-functional teams—Automation, Quality, Production—to integrate vision solutions into manufacturing processes.
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- Conduct proof-of-concept activities for new vision technologies, architectures, and suppliers.
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- Select and integrate hardware components, including sensors, industrial controllers, lenses, lighting systems, and cameras.
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- Work with commercial vision platforms such as\nOmron\nand\nCognex\n.
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- Contribute to the design and evolution of the company’s IoT ecosystem, ensuring seamless data flow from edge devices to cloud infrastructure.
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- Support the implementation of predictive maintenance, performance analytics, and data-driven decision-making processes.
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- Develop and maintain software for connected industrial systems, integrating sensors, edge devices, and cloud platforms.
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- Ensure system scalability, reliability, and cybersecurity.
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\nTechnical Skills
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- stong C / C++ (Expert): embedded systems development, performance-critical image processing.
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- Python (Proficient)\n: rapid prototyping, image processing, data analys
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- Structured Text (ST)\nprogramming according to IEC 61131‑3.
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- Experience working with\nEmbedded Linux\nsystems.
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- Knowledge of industrial protocols such as\nMQTT\nand\nOPC UA\n.
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- Familiarity with cloud platforms and basic cybersecurity principles.
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\nNice to have\n: knowledge of\nMachine Learning and Deep Learning\ntechniques, particularly\nanomaly detection\nand\nimage segmentation\n.\nWhat You Need to Be Successful:\n
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- Degree in Computer Engineering, Electronic Engineering, Automation Engineering, or a related technical field.
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- 4–6 years of experience\nin Machine Vision, embedded development, or industrial automation.
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- Proven background in delivering machine vision applications in industrial environments.
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- Experience with connected industrial systems and IIoT solutions is a strong plus.
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- Strong analytical skills, problem‑solving mindset, and the ability to innovate.
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- Ability to collaborate within cross‑functional teams and manage complex technical projects.
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\nCoesia is an equal opportunity employer and embraces diversity and inclusion