Algorithm Engineer - Sensor Data Processing

Jelentkezés a cégnél

Cég neve

greeHill Europe Kft.
Munkavégzés helye

Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON PANDAS MACHINE LEARNING
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features
Develop techniques for preprocessing raw sensor data, including noise filtering, sampling, and quantization
Optimize algorithms for performance and scalability to handle large, complex datasets efficiently
Integrate data from multiple sensor types to enhance the accuracy and detail of digital representations
Contribute to the continuous improvement of data processing tools, methods, and pipelines
Stay 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 a related field
Strong proficiency in Python, with experience using libraries such as numpy, pandas, open3d, and opencv for data processing and analysis
Solid foundation in algorithms and data structures, with a focus on solving complex, real-world problems
Practical knowledge of processing sensor data such as LiDAR point clouds and image data
Familiarity with computer vision techniques such as feature detection, segmentation, or 3D reconstruction applied to real-world data
Strong problem-solving skills, attention to detail, and a creative approach to tackling technical challenges
Ability to collaborate effectively with multidisciplinary teams including engineers and machine learning specialists
Excellent skills in conveying technical concepts clearly and concisely

Nice-to-have

Experience with geospatial data processing and tools such as GDAL and rasterio for handling satellite imagery or remote sensing data
Knowledge of mapping techniques such as structure from motion or SLAM for spatial data analysis
Familiarity with clustering methods such as HDBSCAN and DBSCAN for segmenting and analyzing sensor data
Understanding of data structures like graphs and trees for representing complex spatial information
Exposure to machine learning tools such as 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.