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Takeda

AI Transformation Trainee

Job Posted 4 Days Ago Posted 4 Days Ago
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Hybrid
Lessines
Junior
Hybrid
Lessines
Junior
The AI Transformation Trainee will build and deploy machine learning models, develop features using NLP technologies, and automate data pipelines.
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Job Description
About the role:
We are seeking for an AI Transformation Trainee to join our digital & innovation team. The ideal candidate will have a background in machine learning, artificial intelligence, natural language processing. The candidate will be responsible for building and deploying machine learning models at scale, as well as developing new features to improve our cutting-edge NLP-based technologies.
How you will contribute:

  • Building data pipeling - Data gathering from our enterprise data backbone plateform (EDB), preparation and visualization as per customers requirements. Tools = SQL, Python (Numpy, Plotly), Databricks.
  • The pipeline will be further automated by leveraging simple and/or advanced NLP algorithms (spaCy, LLMs, etc). The idea is to retrieve in the provided text documents the name of entities (variable, equipment) and automatically extract the relevant data for the pipeline. Tools = Pyton (NLP, Pytorch, spaCy, Huggingface), SQL, Databricks.
  • Finally, based on UI/UX customers requirements, the trainee will develop a first prototype application. Tools = AGILE, Dash / Plotly.
  • In addition, the trainee will discover the day-to-day activities in a phama manufacturing site including visits, team meetings, AGILE methodology.


What you bring to Takeda:

  • Programming skills in SQL, Python
  • Good understanding of machine learning algorithms
  • Experience with PyTorch and Dash is an asset
  • Junior candidatures
  • Customer focused
  • Enthusiastic, decisive, motivating and convincing personality
  • Excellent communication skills, verbal and written communication skills
  • Excellent problem-solving and communication skills
  • Programming skills in SQL, Python
  • Good understanding of machine learning algorithms
  • Experience with PyTorch and Dash is an asset
  • Junior candidatures


What Takeda can offer you:
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.
Our sector and the needs of our patients are constantly changing, which is why we emphasize continuous training. We actively support and invest in the development of our employees through a 50/40/10 training model.
We offer a comprehensive benefits package, prioritizing wellbeing, career growth, and work-life balance:

  • Generous Time Off: 20 days of paid vacation in accordance with Belgian legislation and 12 Working Time Recovery days with additional days granted based on seniority and age.
  • Health & Wellbeing: Comprehensive health and hospitalization insurance, annual check-ups starting at age 45, and support for preventive healthcare.
  • Family Support: Paid leave for maternity, paternity, and adoption, along with dedicated spaces for nursing mothers.
  • Career Development: Access to a Learning Catalog, language courses, and opportunities for internal and international mobility.
  • Transportation & Eco-Benefits: Contributions for public transport, incentives for cycling, and on-site charging stations for electric vehicles.
  • Additional Perks: Meal vouchers, eco-cheques, a flex plan, a 13th-month salary, and pension support.


Important Considerations:
At Takeda, our patients rely on us to create quality products, and we aim to create a safe environment for our team members. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product or putting anyone at the site in harm's way. In this role, you may:

  • Work in a controlled environment requiring special gowning and wear protective clothing over the head, face, hands, feet and body. This may include additional hearing protection for loud areas.
  • Need to remove all make-up, jewelry, contact lenses, nail polish and/or artificial fingernails while in the manufacturing environment.
  • Work in a cold, hot environment and load manual handling.
  • Work multiple shifts, including weekends, or be asked to work supplemental hours, as necessary.
  • Work around chemicals and biologicals products that may require specific protection (respiratory, skin, etc.).


More About Us:
The Takeda Lessines manufacturing site plays a vital role in the production of Takeda's plasma-based therapies. With over 75 years of pioneering legacy, Takeda is a global leader in rare diseases and ranks in the top three for plasma-derived products. Our Lessines manufacturing site is a state-of-the-art biotechnology production facility with over 50 years of experience, specializing in immunoglobulin purification, plasma-derived therapies, and packaging for treatments targeting blood disorders. Serving more than 250,000 patients worldwide, we are dedicated to delivering high-quality therapies that make a significant impact. As Takeda's third-largest global production site, Lessines plays a pivotal role in our international operations, producing and distributing million vials annually to more than 80 countries.
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
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Locations
BEL - Lessines
Worker Type
Employee
Worker Sub-Type
Apprentice / Trainee (Fixed Term) (Trainee)
Time Type
Full time

Top Skills

Agile
Artificial Intelligence
Dash
Databricks
Huggingface
Machine Learning
Natural Language Processing
Numpy
Plotly
Python
PyTorch
Spacy
SQL

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