Állás részletei
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Cég neve
greeHill Europe Kft.
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- PYTHON PANDAS MACHINE LEARNING
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Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Algorithm design and implementation for processing and analyzing sensor data from LiDAR, images, and satellite imagery
Algorithm creation for transforming sensor data into actionable insights such as 3D model reconstruction, spatial data segmentation, and environmental feature detection
Development of preprocessing techniques for raw sensor data including noise filtering, sampling, and quantization
Algorithm optimization for performance and scalability to handle large datasets
Integration of data from multiple sensor types to enhance digital representation accuracy and detail
Contribution to continuous improvement of data processing tools, methods, and pipelines
Staying informed about advancements in sensor data processing, computer vision, and geospatial analysis
Algorithm creation for transforming sensor data into actionable insights such as 3D model reconstruction, spatial data segmentation, and environmental feature detection
Development of preprocessing techniques for raw sensor data including noise filtering, sampling, and quantization
Algorithm optimization for performance and scalability to handle large datasets
Integration of data from multiple sensor types to enhance digital representation accuracy and detail
Contribution to continuous improvement of data processing tools, methods, and pipelines
Staying informed about advancements in sensor data processing, computer vision, and geospatial analysis
Requirements
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field
Strong proficiency in Python with experience using numpy, pandas, open3d, and opencv libraries
Solid foundation in algorithms and data structures for solving complex real-world problems
Practical knowledge of processing sensor data such as LiDAR point clouds and image data
Familiarity with computer vision techniques including feature detection, segmentation, and 3D reconstruction
Strong problem-solving skills and attention to detail
Ability to collaborate effectively with multidisciplinary teams
Excellent communication skills for conveying technical concepts
Strong proficiency in Python with experience using numpy, pandas, open3d, and opencv libraries
Solid foundation in algorithms and data structures for solving complex real-world problems
Practical knowledge of processing sensor data such as LiDAR point clouds and image data
Familiarity with computer vision techniques including feature detection, segmentation, and 3D reconstruction
Strong problem-solving skills and attention to detail
Ability to collaborate effectively with multidisciplinary teams
Excellent communication skills for conveying technical concepts
Nice-to-have
Experience with geospatial data processing and tools such as GDAL and rasterio, Knowledge of mapping techniques like structure from motion or SLAM, Familiarity with clustering methods such as HDBSCAN and DBSCAN, Understanding of data structures like graphs and trees for spatial information representation, Exposure to machine learning tools like sklearn and pytorch, Experience optimizing algorithms for computational efficiency and scalability
Workplace extras
- Shower
- Corporate events
- Bicycle storage
- Sports facilities
- Dog friendly
Company info
greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Hannover, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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