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We're looking for a skilled data scientist to join our client's team and contribute to various projects within the realm of remote sensing and artificial intelligence. This role involves operationalizing the next generation of GeoAI services and utilizing advances in large-scale Earth observation processing. Your expertise will be particularly valuable in developing crop type mapping algorithms critical for the agricultural sector.
Responsibilities
In this position, you will be tasked with:
The ideal candidate will possess a strong background in remote sensing data science, with demonstrated experience in:
Additional Requirements
Preference will be given to candidates who also possess:
Responsibilities
In this position, you will be tasked with:
- Operationalizing GeoAI services through the application of AI advances.
- Developing and improving machine learning and computer vision algorithms for large-scale remote sensing data processing, primarily focusing on Sentinel data.
- Scaling and maturing crop type mapping algorithms and solutions tailored to the digital agricultural landscape.
- Analyzing data streams and optimizing databases and queries to enhance performance.
- Engaging with stakeholders to communicate complex technical concepts.
The ideal candidate will possess a strong background in remote sensing data science, with demonstrated experience in:
- Developing geospatial foundation models.
- Deep learning frameworks, particularly in PyTorch, applied to geospatial or sensor data.
- Spatial databases like DuckDB and working with noisy tabular labeled data.
- Software engineering practices with a strong proficiency in Python and GIS applications (QGIS/ArcGIS, GDAL).
- Utilizing tools like dbt and Airflow for data processing.
Additional Requirements
Preference will be given to candidates who also possess:
- Experience with databases (SQL, Oracle) and reporting.
- Scripting experience in languages such as Shell, Perl, or Python.
- A proven academic background in the use of foundation models in remote sensing.
- A self-organized attitude complemented by strong analytical and communication skills for engaging both technical and non-technical stakeholders.
- Reference #: INW26005
- Jeroen Van Hoecke
- [email protected]
Key Skills
Ranked by relevance
artificial intelligence
machine learning
computer vision
pytorch
python
oracle
perl
sql
ai
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- Posted
- May 12, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Mol
- Company
- In4Matic
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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