AI/ML & Data Fusion Engineer

About the Position

HAEDES is looking for an AI/ML & Data Fusion Engineer to strengthen our team in Belgium. We seek someone who can turn complex, heterogeneous data into dependable forecasts, early warnings, and actionable insights for rivers, coasts, estuaries, oceans, and water-related assets.

Fuse observations, sensors, and physical models into intelligence that helps water systems anticipate change.

Responsibilities

• Develop, train, and evaluate supervised and unsupervised machine-learning models for environmental and engineering applications.
• Create data-fusion methods that reconcile satellite, sensor, geospatial, and numerical-model data across different scales, frequencies, and uncertainties.
• Build time-series forecasting, anomaly-detection, and predictive-maintenance or risk-indicator solutions.
• Design features and hybrid approaches that combine domain knowledge, physical models, and data-driven methods.
• Develop reproducible data pipelines for ingestion, quality control, transformation, training, validation, and operational inference.
• Quantify predictive uncertainty, monitor model performance, and communicate when outputs are – and are not – fit for use.
• Translate models into clear demonstrations, visualizations, and decision-support components for technical and non-technical users.
• Contribute to R&D proposals, client projects, and partnerships while exploring promising ideas of your own.

Requirements

• A master’s degree or PhD in data science, computer science, mathematics, engineering, physics, environmental science, or a closely related field.
• At least 3 years of relevant experience in data science, machine learning, predictive modelling, and/or scientific computing.
• Strong programming skills in Python and C++, with practical experience in scientific-computing, data-science, and machine-learning ecosystems.
• Experience with supervised and unsupervised learning, statistical modelling, feature engineering, and robust model validation.
• Hands-on experience with time-series analysis, forecasting, anomaly detection, and predictive modelling.
• Experience integrating heterogeneous datasets with different spatial and temporal resolutions.
• The ability to work efficiently with large datasets and select appropriate storage, processing, and exchange formats.
• A sound understanding of uncertainty, bias, data leakage, generalisation, performance metrics, and model limitations.
• The ability to explain analytical methods and results to both specialist and non-specialist audiences.
• Professional working proficiency in English.

Nice to Have

• Environmental, geospatial, satellite, oceanographic, hydrological, or IoT sensor data.
• Numerical or physical modelling and hybrid, physics-informed, or surrogate-modelling approaches.
• Cloud-based and distributed data or ML workflows, including containers, orchestration, and scalable inference APIs.
• MLOps practices such as experiment tracking, versioning, automated testing, deployment, monitoring, and retraining.
• Deep learning, spatiotemporal modelling, computer vision, Bayesian methods, or data assimilation.
• Forecasting and early-warning services, asset-specific risk analytics, or digital-twin applications.

How You Work

You are adventurous enough to explore the unknown and rigorous enough to make the result trustworthy. You work autonomously without working alone, challenge assumptions, and invite scientists, engineers, software developers, and domain experts into the process. You combine creativity with responsibility, treat uncertainty honestly, and keep learning as methods, data, and environmental questions evolve.

What Makes HAEDES Different

HAEDES blends engineering and soul: logic with emotion, knowledge with wisdom, and process with patterns. We address root causes rather than symptoms and co-create solutions inspired by nature. Our values – nature, trust, connection, creativity, autonomy, and authenticity – guide how we choose projects, work with partners, and make decisions.

• A living-system organisation that adapts through co-creation, learning, and distributed responsibility.
• Freedom to pioneer and pursue original ideas, paired with accountability for data quality and useful outcomes.
• Work at the intersection of water, AI, Earth Observation, numerical modelling, climate resilience, and regenerative design.
• A multidisciplinary international network and a nurturing culture with serious expertise, personal guidance, and room for humour.

We Offer

• A varied role with meaningful R&D and client work, plus genuine influence on our predictive-analytics and digital-twin capabilities.
• A flexible working rhythm: remote, office-based, and on project locations, with occasional travel to Belgium and international clients.
• Remuneration aligned with your experience, skills, and responsibilities.
• A personal development plan covering technical growth and self-development.

Interested

Send your CV and a short motivation explaining how you have transformed complex data into useful predictions or decisions to [email protected]. Please use the subject line ‘AI/ML & Data Fusion Engineer’. Best before September 30th 2026.

We look forward to discovering not only what your models can predict, but what they can help us change.