Engineer in opleiding

Previa verifica dei requisiti professionali, costituisce titolo preferenziale l’appartenenza alle Categorie Protette ai sensi dell’art 1 L. 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. 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. Job Title: Vision Engineer
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.
Leverage architectures like Faster R-CNN , YOLO , and novels state -of-art algorithms to detect defects and classify images with high accuracy.
Leverage architectures like Faster R-CNN , YOLO , and novels state -of-art algorithms to detect defects and classify images with high accuracy.
Proposes and evaluates with functional leader new ideas or projects, formulating precise business cases and assessing costs and resources.
Master’s degree or PhD in Computer Engineering, Automation, Electronics, or a related field.
~1-3+ years experience in pharmaceutical Company or related industries with specific focus on computer vision, deep learning or inspection systems.
~ 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.
~ PyTorch, TensorFlow) and computer vision libraries (e.g., 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.
~ In-depth knowledge of the sterile production process and equipment
~ Strong ability to work and communicate effectively with the team and peers within a manufacturing and engineering organization. This includes excellent communication skills: written and verbal
~ Prioritization & project management skills
~ Creative capacity for developing new ways to do things better, cheaper, faster


Manages technical records and diagrams.
Promotes and leads 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.
Is accountable for HSE topic and investigation in the area under his/her control

Provides strategic oversights and acts as an advisor or trainer to maintenance and production members.


Conducts investigations and coordinates the resolution of problems and root cause analysis (RCA).


Innovation
~ Execution of project within challenging timelines and environment


We want our employees to succeed in everything they do – at work, at home, and in the community. Health Care Insurance
Employee discount programs at various businesses, stores, and medical services

Training and Development
Training on technical skills and professional development
Full time