Machine Learning Engineer II

Eurofins Scientific is an international life sciences company that provides a unique range of analytical testing services. They are seeking a Machine Learning Engineer II to apply AI-enabled applications and data-driven approaches within drug discovery and development, collaborating closely with scientists to drive projects and identify solutions for clients.

Responsibilities:

• Represent Informatics as the subject matter expert in cross-functional initiatives, collaborating closely with scientists, data teams and technical stakeholders
• Identify and deliver solutions where computational and AI-driven approaches can improve efficiency, decision making, and knowledge utilization across complex workflows
• Design, develop and deploy production-ready AI-enabled applications that integrate structured and unstructured data for scalable use
• Build and implement retrieval-augmented systems (RAG), semantic search frameworks, and embedding-based data workflows to enable intelligent information retrieval
• Develop conversational AI interfaces and agentic architectures that automate knowledge-intensive tasks and support user interaction with complex datasets
• Research, design and develop machine learning algorithms, tools and systems
• Write structured, tested, readable and maintainable code, as well as participate in code reviews to ensure code quality and distribute knowledge for existing and new tools that allow us to extract, analyze, visualize and produce valued added insights of data for our customers
• Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of candidates
• Perform statistical analysis and fin-tuning using test results
• Be actively involved in digital transformation projects and data governance objectives working closely with IT and scientific teams
• Ensure proper documentation of workflows, reports, tools, and analyses of the Research Informatics’ team
• Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Technology Sciences leadership
• Ensure project activities align with Eurofins policies, procedures and methodologies