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Artificial intelligence engineer for pharmaceutical manufacturing

Dublin
beBee Careers
Biostatistician
Posted: 15 June
Offer description

About This Role

We are seeking a Data Scientist with expertise in Process Modeling and Advanced AI to join our team. As a member of our Manufacturing Intelligence team, you will have the opportunity to develop and implement cutting-edge AI technologies including Large Language Models (LLMs), agent-based systems, real-time soft sensors, and advanced process control solutions.

This role carries a hybrid working model and requires a 12-month fixed term contract. You will be responsible for technical contributions to high-impact projects that require data analytics, advanced modeling, and optimization expertise.

* Technical contribution to high-impact projects that require data analytics, advanced modeling, and optimization expertise.
* Identify high-value opportunities for applying Advanced Analytics, Advanced Process Control (APC), Artificial Intelligence (AI), Machine Learning (ML), LLMs, Agentic AI, and the Industrial Internet of Things (IIoT), and develop and deploy innovative, fit-for-purpose solutions in the manufacturing environment.
* Drive development of mathematical models, machine learning systems, and LLM-based agentic workflows and support GMP implementation of these AI/ML solutions.
* Apply engineering principles, modeling tools, and experimental skills using data-rich lab/pilot/manufacturing equipment to improve process understanding and facilitate real-time process monitoring and control.

Requirements

* An MSc or PhD degree in a relevant engineering major, mathematics, or computer science.
* Expert-level knowledge in Python is a must. Additional experience in any of the following languages is a plus: R, Matlab.
* Ability to perform data engineering on real-world big data, including structured time-series datasets with thousands of features.
* Demonstrated experience applying AI methodologies, including LLMs and agent-based architectures, to real-world data to generate insight and support decision making.
* Proven ability to build autonomous agents or AI copilots tailored to manufacturing or scientific workflows.

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