AI Engineer

🔥 2 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IFF

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

IFF is a global leader in the creation of flavors, fragrances, food ingredients, and health & biosciences. The company leverages cutting-edge science and creativity to develop sustainable solutions across various industries, enhancing food and beverage experiences, personal care products, and more. With a strong commitment to environmental and social governance, IFF focuses on innovation and responsible sourcing to improve lives and elevate everyday products.

📋 Description

• Develop practical AI, machine learning, and optimization solutions for technical and operational teams • Apply large language models, foundation models, and multimodal approaches to search, analysis, knowledge discovery, and decision support • Build AI-enabled applications combining models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback • Design and use knowledge graphs, ontologies, and structured domain knowledge • Translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics • Develop pipelines for structured and unstructured data, including time-series, laboratory, manufacturing, document, and scientific or technical knowledge sources • Contribute to model validation, monitoring, documentation, governance, and continuous improvement • Collaborate across data science, engineering, digital technology, operations, and business teams • Travel regularly, potentially up to approximately 35% annually, with occasional 2–3 consecutive week on-site periods

🎯 Requirements

• 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 in production or operational environments • 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 and deploying solutions in real industrial or production environments • Understanding of frontier model capabilities, prompt design, agentic AI, retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop workflows • Experience with structured and unstructured data, including time-series, scientific, engineering, document, knowledge base, or operational datasets • Knowledge of mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning, or predictive analytics • Familiarity with version control, testing, APIs, containers, CI/CD, and maintainable code design • Ability to communicate model outputs, uncertainty, assumptions, control logic, optimization trade-offs, and practical implications • Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or RAG for scientific, industrial, or operational use cases • Experience in manufacturing, process development, industrial operations, supply chain, biomanufacturing, bioinformatics, chemical processes, advanced process control, or mathematical optimization • Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production ML systems

🏖️ Benefits

• Remote-based working model • Learning and development opportunities • Collaborative environment • Regular travel for high-impact engagement • Exposure to diverse technical communities • Inclusive workplace