Job Description & How to Apply Below
Responsibilities
Develop and implement AI/ML models for Food Tech applications including demand forecasting, quality control, predictive maintenance, supply chain optimisation, anomaly detection, and process automation
Create efficient preprocessing and feature engineering workflows for complex datasets such as production, IoT, sensor, operational, and time-series data
Build intelligent systems that improve food safety, product consistency, inventory management, and manufacturing efficiency
Deploy and maintain AI applications across cloud and edge computing environments using AWS, Azure, or GCP
Your Profile
2-8 years of experience in AI Engineering, Machine Learning Engineering, Data Science, or a related field
Strong Python development skills
Hands-on experience developing and deploying ML systems in production environments
Understanding of data engineering concepts including ETL/ELT processes, streaming architectures, and IoT or sensor-based data pipelines
Experience working with time-series data, forecasting models, optimisation algorithms, or industrial AI applications is highly advantageous
Exposure to Food Tech, Agri Tech, manufacturing, supply chain, logistics, or sustainability-focused technologies is considered a strong plus
The Offer
Hybrid working setup with offices located in Ghent
Opportunity to contribute to innovative AI solutions within a rapidly growing Food Tech environment
Strong emphasis on technical development, experimentation, and applied AI research
Competitive salary package of up to EUR6,000 depending on experience and interview performance
Company car or mobility budget included
13+ ADV days
Clear pathways for progression into senior and leadership positions
Collaborative and mission-driven team focused on transforming the future of food production through technology
If this opportunity excites you, apply today or send your CV and a short cover letter to ry
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