Computer Vision System Engineer
At a glance
Mid-level Machine Learning Engineering role at PirelliTyres. Milan.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Identify imaging equipment and methods that meet production vision-system needs, including cameras, lighting and combined technologies
- Build vision algorithms that improve production flow, limit waste and protect product quality
- Turn internal requests into system concepts and discuss manufacturing needs with colleagues and industrial partners
- Plan and create image-heavy datasets for manufacturing applications
- Present findings to technical and non-technical audiences inside and outside the organization
What you bring
- A master’s degree in computer science, computer engineering or a related discipline
- At least two years developing vision-system solutions in an industrial setting
- Strong computer-vision and image-processing knowledge, including inspection, calibration, segmentation and image analysis
- Coding ability in Python and another listed language, plus experience with OpenCV or Halcon
- Professional spoken and written Italian and English, with Python visualization skills for reporting results
Who this fits
This mid-level role suits someone with industrial computer-vision experience who can build production-focused systems and explain results clearly. The position is based in Milan, Italy.
From the employer
DISCOVER PIRELLI
We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people!
WHY JOIN US
We are offering a rewarding role with scope for career progression along with:
• International, engaging, and supportive working environment.
• Global onboarding process.
• Bespoke training and development programs accessible to all.
• Competitive welfare and benefits package.
• International mobility opportunities.
DRIVE YOUR FUTURE
Pirelli is seeking a highly qualified candidate for the position of Computer Vision System Engineer. The ideal candidate will have at least 2–3 years of experience in an industrial setting. The successful applicant will join the Digital Factory Innovation department, contributing to the development of Computer Vision solutions aimed at improving the efficiency, quality, and sustainability of production processes. The chosen candidate will play a key role in developing advanced Computer Vision solutions to enhance Pirelli's manufacturing activities.
YOUR CORE ACTIVITIES
• Technology scouting: The candidate will identify and analyze vision system technologies and techniques to fulfill the system requirements (cameras, lights, full machines, different imaging technologies fusion..)
• Computer Vision Development: The candidate will contribute to designing and developing computer vision and advanced algorithms. These algorithms will focus on optimizing production workflows, reducing waste, and maintaining the highest standards of product quality, thereby enhancing productivity, quality, and sustainability in manufacturing processes.
• Collaboration with Stakeholders: The role involves regular interaction and collaboration with both internal and external stakeholders, including industrial partners. Strong communication skills are essential for translating internal departmental requests into vision system concepts or solutions and presenting industrial requirements effectively to external partners.
• Dataset Production: The candidate will project and realize complex industrial datasets, primarily composed of images. These efforts aim to improve efficiency and quality within the manufacturing domain.
• Communication: The ideal candidate must be capable of presenting findings and results clearly to both internal management and external partners. Presentations must be accessible and understandable for both technical and non-technical audiences.
WHAT WE ARE LOOKING FOR
• Master’s degree in computer science/computer engineering or related fields
• At least 2–3 years of experience in developing vision system solutions.
• Strong knowledge of state-of-the-art Computer Vision technology (quality inspections, optical flow, image quality, camera calibration, …)
• Strong knowledge of state-of-the-art Computer Vision image processing (filters, edge detection, image segmentation, image analysis, …)
• Proficiency in coding principles, particularly Python, C#, C++, as well as CV libraries like Opencv and Halcon
• Exceptional problem-solving and teamwork skills. Proficiency in Python visualization libraries is required, along with the ability to effectively report and present results using plots and detailed reports.
• Italian, English (both oral and written proficiency).
WHAT PUTS YOU IN POLE POSITION
• Deep Learning techniques applied to image processing.
• Experience with cloud platforms such as AWS and containerization technologies like Docker.
• Project management experience (multi and parallel projects).
COMPENSATION PACKAGE
• The employment contract will be regulated by “Gomma Plastica” National Collective Bargaining Agreement
• The gross annual base salary (RAL) offered will be no less than €35.000
• The Company is committed to offering a competitive compensation package and, following the selection process, may propose a final gross annual base salary above the stated level, commensurate with the candidate’s experience, skills, and qualifications
• The position’s compensation package also includes a variable component and a competitive welfare and benefits offer. Further details will be provided at a later stage and will be subject to the applicable Company policies
APPLY NOW, DRIVE YOUR FUTURE!
#WePirelli
We are an equal opportunity employer and this search is open to all individuals, in compliance with the principles of equal opportunity and non-discrimination, pursuant to applicable laws and regulations