AI/ML Engineer

Eurofins USA PSS Insourcing Solutions•Groton, CT

1d•Onsite

About The Position

Eurofins Scientific is seeking a highly motivated AI/ML Engineer to support development of Generative AI-based digital tools and platforms in a pharmaceutical R&D environment. The role is part of the Automation and Robotics team and focuses on designing, prototyping, and implementing AI-driven solutions for pharmaceutical applications. The position offers hands-on work with machine learning, large language models, automation, and data engineering to help develop digital tools for the pharmaceutical industry. The engineer will develop scientific-data knowledge graphs and retrieval-augmented generation systems; create AI solutions for chemical process optimization and predictive analytics; build robotic control systems for modular laboratory equipment; and develop Jupyter-based applications. The role also involves integrating and visualizing experimental data, maintaining Python pipelines for data acquisition and workflow automation, collaborating with scientific stakeholders, integrating APIs and databases, and documenting code and workflows in line with internal quality standards. This is an onsite position in Groton, Connecticut, with a Monday–Friday, 8 a.m.–5 p.m. schedule. Overtime may be needed, and work on weekends or holidays may be requested based on business needs. Applicants must be authorized to work indefinitely in the United States without restriction or sponsorship.

Requirements

Bachelor of Science with at least 5 years of experience, or a Master of Science in Computer Science or a related field; expected graduation before the start date is acceptable.
Proficiency in Python, Jupyter Notebook, Dataiku DSS, and REST APIs.
Experience with large language models (LLMs) and retrieval-augmented generation (RAG).
Authorization to work in the United States indefinitely without restriction or sponsorship.

Nice To Haves

Familiarity with RDKit for cheminformatics applications is preferred.
Currently living within a commutable distance of Groton, Connecticut is encouraged.

Responsibilities

Develop and maintain knowledge graphs and retrieval-augmented generation (RAG) systems for scientific data.
Design, prototype, and deploy AI-driven solutions for chemical process optimization.
Implement AI/ML models for predictive analytics and decision support in chemical synthesis.
Build robotic control systems to orchestrate workflows using modular lab equipment.
Create applications leveraging the Jupyter framework for web-based tools.
Integrate and visualize experimental data within applications where applicable.
Develop and maintain Python-based pipelines for data acquisition and workflow automation.
Collaborate with scientific stakeholders to refine requirements and iterate on prototypes.
Work with APIs, databases, and internal data pipelines for seamless integration.
Document code and workflows in compliance with internal best practices and quality standards.