via indeed · 5 giugno 2026 ·1 giorno fa

Industrial Vision & Data Engineer

Enlive Automation
Inverigo Tempo pieno Remote
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Company Description

ENLIVE, part of the Pozzi Industry Group, specializes in industrial digitalization solutions and automation services for manufacturers and production line suppliers. The company designs tailor\-made smart technology solutions that help optimize production processes, operations, and responsiveness to customers’ digital demands. ENLIVE offers a collaborative environment for professionals who want to shape the future of industrial automation and data\-driven production.

About the Role

We are seeking an Industrial Vision \& Data Engineer to join our growing automation team. The successful candidate will play a key role in developing machine vision solutions, analyzing production data, and implementing software tools that improve manufacturing efficiency, quality, and operational performance.

This position combines industrial automation, computer vision, software development, and data analytics to support the digital transformation of manufacturing processes.

Key Responsibilities

  • Design, develop, and deploy machine vision applications for industrial environments.

  • Configure and optimize vision systems for inspection, quality control, measurement, identification, and traceability.

  • Develop software applications and data\-processing tools using Python and/or JavaScript.

  • Collect, process, and analyze production and machine data to identify trends, inefficiencies, and improvement opportunities.

  • Integrate vision systems with PLCs, SCADA, MES, and other industrial automation platforms.

  • Create dashboards, reports, and visualizations to support operational decision\-making.

  • Collaborate with automation engineers, software developers, and production teams to deliver innovative Industry 4\.0 solutions.

  • Support commissioning, testing, and troubleshooting activities both remotely and on\-site.

  • Contribute to the development of digitalization and smart manufacturing initiatives.
Required Qualifications
  • Degree in Engineering, Computer Science, Automation, Mechatronics, Data Science, or a related field.

  • Experience with industrial machine vision systems and image\-processing technologies.

  • Strong programming skills in Python and/or JavaScript.

  • Knowledge of computer vision libraries

  • Experience in data analysis, data visualization, and statistical evaluation.

  • Understanding of industrial manufacturing processes and automation systems.

  • Strong problem\-solving and analytical skills.

  • Ability to work independently and within multidisciplinary teams.

  • Professional English.
Preferred Qualifications
  • Experience with AI or machine learning applications for industrial environments.

  • Familiarity with vision platforms.

  • Knowledge of SQL databases and industrial data architectures.

  • Experience with dashboarding tools such as Power BI, Grafana, or Tableau.

  • Understanding of PLCs, OPC UA, MQTT, MES, or SCADA systems.

  • Experience in Industry 4\.0 and digital transformation projects.
What We Offer
  • Opportunity to work on innovative automation and digitalization projects.

  • Exposure to cutting\-edge machine vision and Industry 4\.0 technologies.

  • Professional growth in a fast\-growing industrial automation environment.

  • Collaborative and international working environment.

  • Competitive compensation package based on experience.
Location

Inverigo, Province of Como

Employment Type

Full\-time (Preferred)

How to Apply

Please submit your CV outlining your experience in machine vision, software development, and industrial data analysis.

Due to the technical nature of this role, we are only considering candidates with proven experience in machine vision, either through academic research/projects or professional work in an industrial environment.

Job Type: Full\-time

Pay: €30,000\.00 \- €45,000\.00 per year

Experience:

  • Machine Learning: 1 year (Required)
Language:
  • English (Preferred)
Work Location: In person

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