Tiro Partners are seeking an A.I. / Computer Vision Engineer to join our Geospatial client based in Utrecht on a full time, permanent basis.
About the role
As a Computer Vision Engineer, you will be working within the GIS-GeoData Team developing and implementing Computer Vision models with Geospatial data, delivering cutting-edge technology support their partners, government, and local councils. You will be developing and maintaining algorithms for new and existing applications. The team specialises in utilising advanced AI technologies with multiple GeoData sources to understand and detect environmental anomalies.
Your role / responsibilities:
- Collaborate across internal teams and IT/Data team to understand the requirements and projects of their clients
- Develop and implement AI models using Computer Vision techniques to automatically detect objects, changes, and anomalies of a mapped area
- Work with Python, TensorFlow, PyTorch, and other relevant tools to develop, train, and deploy AI models
- Leverage Azure Cloud environments for scalable and efficient processing of large geospatial datasets
- Integrate AI solutions with existing GIS platforms, including QGIS/ArcGIS
- Available to work onsite in the office in Utrecht
Qualifications:
- Must be fluent in Dutch (written and spoken) to effectively communicate with clients and team members
- Proven experience in developing and deploying AI models for Computer Vision applications
- Strong proficiency in Python programming and experience with popular deep learning frameworks such as TensorFlow and PyTorch
- Familiarity with Azure Cloud environments for efficient and scalable processing
- Experience with GIS platforms such as QGIS/ArcGIS for integrating AI solutions with geospatial data
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Education and Experience
- Bachelor’s or Master’s degree in Computer Science, Geomatics, or a related field
- 3+ years of practical experience in developing and deploying AI models for geospatial applications
