Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies believes that it is a global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and AgroScience contract research services. It is also one of the market leaders in certain testing and laboratory services for genomics, and in the support of clinical studies, as well as in biopharma contract development and manufacturing. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 37 years, Eurofins has grown from one laboratory in Nantes, France to over 65,000 staff across a decentralised and entrepreneurial network of more than 950 laboratories in over 1,000 companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2024, Eurofins generated total revenues of EUR 6.95 billion; and has been among the best performing stocks in Europe over the past 20 years.

Experience:

• Design and implement AI/ML-powered features and services.
• Build scalable APIs and infrastructure to support AI models in production.
• Collaborate with data scientists to optimize models for performance and reliability.
• Integrate AI capabilities into web/mobile platforms, backend systems, or embedded devices.
• Participate in code reviews, architecture discussions, and R&D initiatives.
• Ensure software reliability, scalability, and maintainability through testing and best practices.
• Monitor and improve deployed models and AI systems using telemetry and feedback loops

Technology skills:

• Bachelor's or master's degree in computer science, Software Engineering, or related field.
• 2–5+ years of software development experience with proficiency in any of the following - C#, SQL, Python, Java, C++, or similar.
• Solid understanding of machine learning fundamentals and data structures/algorithms.
• Experience with ML/DL frameworks
• Experience working with APIs and SDKs from platforms like OpenAI, Cohere, or Anthropic.
• Familiarity with deploying AI models to production
• Strong debugging, problem-solving, and analytical skills.
• Knowledge of LangChain, LlamaIndex, or other frameworks for building agent-based or RAG-based systems.