Senior Machine Learning Engineer (m/f/d) - GeoAI for Humanitarian Applications
Core
Design, evaluate, and deploy machine learning and AI approaches for geospatial, Earth observation, and unstructured data to support humanitarian organizations across the disaster management cycle.
Role type
Senior Machine Learning Engineer (GeoAI)
Builds
Open-source ML models, data pipelines, and prototypes for humanitarian aid
Domain
Geoinformatics, Earth observation, Humanitarian technology
Deliverable
production ML models
Required skills
Machine learning and deep learning, MLOps, Python, PyTorch/TensorFlow, Docker, Geospatial data processing, LLM-based approaches
Preferred skills
Experimental design, model evaluation, data quality assessment, bias and uncertainty analysis, coaching and mentoring
Technologies
Python, PyTorch, TensorFlow, Docker, OpenStreetMap, Remote sensing
Responsibilities
Identify and evaluate ML/AI approaches for geospatial challenges; develop and deploy reliable ML models and data pipelines; maintain state-of-the-art knowledge and create prototypes; shape technical direction and mentor the team
Seniority
Senior, hands-on IC with mentorship responsibilities