06 ago - Bologna
Experteer Italy
ph3Experteer Overview /h3pAs a Machine Vision Engineer at ACMA, you will advance vision systems and the Industrial IoT ecosystem to enhance process control, quality, and predictive maintenance. You will work within the Automation Digital Innovation team to integrate vision solutions across manufacturing, from prototype to production. The role involves evaluating new vision technologies, hardware integration, and edge‑to‑cloud data flows. This position offers a chance to shape scalable, secure, data‑driven manufacturing solutions in a global packaging machinery context. /ph3Retribuzione / Benefits /h3ulliDevelop, validate, and industrialize machine vision applications from prototype to production. /liliCollaborate with Automation, Quality, and Production to embed vision into manufacturing processes. /liliConduct proof‑of‑concept activities for new vision technologies, architectures, and suppliers. /liliSelect and integrate hardware components (sensors, controllers, lenses, lighting, cameras). /liliWork with commercial vision platforms such as Omron and Cognex. /liliContribute to design and evolution of the IoT ecosystem, ensuring data flow from edge to cloud.
/liliSupport predictive maintenance, performance analytics, and data‑driven decision‑making. /liliDevelop and maintain software for connected industrial systems, integrating sensors, edge devices, and cloud platforms. /liliEnsure system scalability, reliability, and cybersecurity. /li /ulh3Responsabilità /h3ulli4–6 years of experience in Machine Vision, embedded development, or industrial automation. /liliProven background delivering machine vision applications in industrial settings. /liliStrong proficiency in C / C++ (embedded, performance‑critical image processing). /liliProficient in Python for rapid prototyping, image processing, data analysis. /liliStructured Text programming per IEC 61131‑3; experience with Embedded Linux. /liliKnowledge of MQTT and OPC UA industrial protocols. /liliFamiliarity with cloud platforms and basic cybersecurity principles. /liliDegree in Computer Engineering, Electronic Engineering, Automation Engineering, or related field. /li /ul /p #J-18808-Ljbffr
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