Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and deploying machine learning and GenAI solutions to drive innovation across the food ingredient value chain with an accent on scalable data pipelines and applied AI products. Focus on integrating graph data science, LLM frameworks, and MLOps practices to automate processes and accelerate decision-making within the company.

Location: Groot-Bijgaarden, Belgium

Company

hirify.global is a global leader in bakery, patisserie, and chocolate ingredients, committed to creating innovative food solutions for health and well-being.

What you will do

• Design, build, and deploy machine learning and GenAI solutions across R&D, production, and marketing.
• Partner with business and technical teams to translate complex problems into deployable AI products.
• Develop and optimize end-to-end ML pipelines in Databricks and Azure Machine Learning.
• Apply graph data science techniques to reveal connections across ingredients and consumer insights.
• Experiment with LLMs and AI copilots to enhance knowledge discovery.
• Contribute to AI governance, ensuring reproducibility, observability, and ethical use.

Requirements

• Master’s or PhD in Computer Science, Data Science, Engineering, Statistics, Physics, or related fields.
• 3+ years of professional experience in applied ML or data engineering.
• Strong technical foundation in Python, SQL, and the data science ecosystem.
• Experience with Azure, Databricks, and Spark for scalable data processing.
• English proficiency required.

Nice to have

• Familiarity with GenAI/LLM frameworks (Hugging Face, LangChain, OpenAI).
• Knowledge of graph databases like Neo4j.
• Understanding of software engineering practices, CI/CD, and MLOps.
• Knowledge of French or Dutch is an asset.

Culture & Benefits

• Competitive salary package with 13th-month pay.
• Full group, dental, and hospitalization insurance coverage.
• Company car provided.
• Meal vouchers (9€/day).
• Minimum of 5 training days per year for professional growth.
• Inclusive, dynamic work environment focused on innovation and team spirit.