AI Engineer

Are you passionate about innovation that transforms everyday products into extraordinary experiences? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, delivering sustainable innovations that elevate everyday products. Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets. The role is remote-based with regular travel   required ; travel may reach up to ~35% annually depending on project scope and deployment phases, with occasional intensive periods (e.g., 2–3 consecutive weeks on-site) . Multiple locations may be considered   subject to business needs, local employment requirements, and candidate   profile . Be part of a creative, solution-oriented, and collaborative team where together we can achieve greatness and make a real impact. Your potential is our inspiration.   Where   You’ll   Make a Difference   Develop practical AI, machine learning   and   optimization   solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on.   Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support.   Build AI-enabled applications that combine models, data pipelines, prompts,   agents,   evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable.   Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context.   Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences.   Develop robust pipelines for structured and unstructured data, including time-series data, laboratory data, manufacturing data, documents, and scientific or technical knowledge sources.   Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments.   Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption.   What Makes You the Right Fit   Master’s, or PhD degree   in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science   or   Applied Mathematics.   Demonstrated   industrial experience with a proven   track record   of delivering measurable business impact and driving outcomes in production or operational environments   Proven,   hands-on experience with Python and modern machine learning workflows, including data preparation, modeling, validation, deployment, and monitoring.   Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solution   including   demonstrated   experience deploying solutions in real industrial or production environments .   •Practical understanding of frontier model capabilities and limitations, including prompt design,   agentic AI,   retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop workflows.   Experience working with structured and unstructured data, such as time-series data, scientific data, engineering data, documents, knowledge bases, or complex operational datasets.   Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning,