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Vision engineer

Pisa
Contratto a tempo indeterminato
Takeda Pharmaceutical
50.000 € all'anno
Pubblicato il 26 novembre
Descrizione

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.


Job Description

Previa verifica dei requisiti professionali, costituisce titolo preferenziale l’appartenenza alle Categorie Protette ai sensi dell’art 1 L. 68 / 99 e / o alle categorie di lavoratori che risultino percettori di interventi a sostegno del reddito e / o risultino disoccupati a seguito di procedure di licenziamento collettivo.

Present in Italy since 1982, Takeda has two plasma‑derived drug production sites in Rieti and Pisa, supporting patients with rare and complex diseases. These sites focus on the production of therapies derived from immunoglobulins, albumin, and coagulation factors. As partners of the National Health System, we transform plasma into life‑saving drugs under the “National Self‑Sufficiency of Blood and its Products” program. We supply high‑quality medicines worldwide, with a strong presence in Europe, America, and Asia.

Takeda Manufacturing Italia SpA has been awarded the Top Employer certificate for several years and is committed to inclusion, career growth, and sustainability. Join us in making a difference.


Job Title

Vision Engineer


Location

Pisa


About the role


Objectives / Purpose

* Manage engineering operations for manufacturing operations in Pisa plant.
* Provide holistic engineering and maintenance support to the site to sustainably achieve capacity plans and fulfillment targets.
* Define maintenance activities for process equipment, providing engineering technical support and capital planning and execution.
* Manage deviations, elaborate and update SOPs related to process equipment failure.


Accountabilities

* Design and optimize deep learning models using frameworks such as PyTorch and TensorFlow.
* Leverage architectures like Faster R‑CNN, YOLO, and novel state‑of‑art algorithms to detect defects and classify images with high accuracy.
* Develop innovative loss functions and methodologies to enhance model robustness and performance.


Core Elements Related to this Role

* Serve as an expert and the focal point for technical discussions regarding equipment, processes, and systems.
* Manage deviations and changes according to GMP rules.
* Propose and evaluate with functional leaders new ideas or projects, formulating precise business cases and assessing costs and resources.
* Make alterations and adjustments to processes and equipment.
* Draft and review qualification documents, evaluations, technical standard operating procedures (SOPs), and instructions.
* Manage technical records and diagrams.
* Manage relationships with technical third parties such as equipment suppliers, directly handling service requests and agreements.
* Promote and lead the exchange of technical knowledge within and outside the site.
* Implement and fine‑tune AVI systems for real‑time quality inspection on automated production lines.
* Be accountable for HSE topics and investigations in the area under your control.


Education, Behavioral Competencies and Skills

* Master’s degree or PhD in Computer Engineering, Automation, Electronics, or a related field.
* 1‑3+ years experience in a pharmaceutical company or related industries with specific focus on computer vision, deep learning, or inspection systems.
* In‑depth technical proficiency on pharmaceutical systems and equipment.
* Good knowledge of cGMPs and pharma/HSE rules and standards.
* Fluent in English.
* Proficiency in MATLAB, Python, and C++ for algorithm development and system integration.
* Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV, Halcon).
* Experience with modern architectures such as Faster R‑CNN, YOLO, and EfficientDet for image analysis and defect detection.
* Strong understanding of GPU‑based acceleration using NVIDIA CUDA for optimizing training and inference workflows.
* Hands‑on experience with data pipelines and tools for large‑scale image processing.
* Exceptional ability to manage simultaneous activities, competing priorities, and challenges.
* Leadership and influence.
* In‑depth knowledge of the sterile production process and equipment.
* Strong communication skills, written and verbal, effective with the team and peers within a manufacturing and engineering organization.
* Prioritization and project management skills.
* High‑level problem‑solving/root cause investigation skills.
* Creative capacity for developing new ways to do things better, cheaper, faster.


Dimensions and Aspects

* Technical / Functional (Line) Expertise
* Leadership
* Decision‑making and Autonomy
* Interaction
* Innovation
* Complexity


What You Bring to Takeda

We want our employees to succeed in everything they do – at work, at home, and in the community. This is why we offer world‑class benefits and access to resources that can support people.


What Takeda Can Offer You

* Health Care Insurance
* Employee Stock Purchase Plan
* Employee discount programs at various businesses, stores, and medical services
* Training on technical skills and professional development
* Job Rotation programs to work in different departments
* Employee‑led groups focused on raising awareness of Diversity, Equity, and Inclusion and engaging in community outreach
* Wellness Programs
* On‑site cafeteria and coffee bar
* Resources for mental, physical, financial, and spiritual health
* Parental Leave


Location

ITA – Pisa


Worker Type

Employee


Worker Sub‑Type

Regular


Time Type

Full time

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