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Vision Engineer

Takeda Pharmaceutical

Pisa

In loco

EUR 40.000 - 60.000

Tempo pieno

Oggi
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Descrizione del lavoro

Azienda farmaceutica leader italiana cerca un Vision Engineer per gestire operazioni ingegneristiche presso lo stabilimento di Pisa. Il candidato ideale ha un Master o PhD in Ingegneria Informatica e esperienza in deep learning. Offriamo un ambiente stimolante e benefici eccellenti, inclusi programmi di formazione e benessere.

Servizi

Assicurazione sanitaria
Piano di acquisto azionario per dipendenti
Programmi di formazione professionale
Programmi di benessere

Competenze

  • Esperienza di 1-3+ anni in un'azienda farmaceutica.
  • Conoscenza approfondita di sistemi e attrezzature farmaceutiche.
  • Fluente in inglese.

Mansioni

  • Gestire operazioni ingegneristiche nello stabilimento di Pisa.
  • Ottimizzare modelli di deep learning per il rilevamento di difetti.
  • Proporre e valutare nuove idee o progetti.

Conoscenze

Visione artificiale
Deep learning
Gestione progetti
Comunicazione
Problem solving

Formazione

Master's degree o PhD in Ingegneria Informatica

Strumenti

PyTorch
TensorFlow
MATLAB
Python
C++
Descrizione del lavoro

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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