About the Role
We are looking for a computer vision engineer, who is not afraid to tackle various types of challenges, implement the latest state-of-the-art and come up with new ideas.
Your main responsibilities will be the development of new convolutional neural networks for semantic segmentation and object detection on 3D point clouds and images, training them and running them in production.
Responsibilities
implement the latest state-of-the-art,
train, validate and optimise AI Models,
come up with a novel solution to improve the performance of existing AI models,
write efficient data ingestion pipelines,
write technical documentation.
Requirements
experience with implementing AI Models in deep learning frameworks such as Tensorflow or PyTorch,
experience with development in Python,
not afraid of 3D data,
basic Linux (ssh into a remote host, etc.),
experience using GIT,
experience with Docker,
ability to learn quickly,
ability to write clear and concise code that your teammates can understand and build upon,
a drive to understand what is going on,
comfortable with professional software engineering best practices.
Nice to have
experience with 3D data and point clouds,
experience with AWS,
drive to tackle geospatial problems that can help make this world a better place.
What we offer
full-time employment,
stimulative compensations,
modern offices in Ljubljana,
remote work and flexible hours,
work with highly motivated and skilled engineers,
choose your preferred hardware (Mac/PC),
challenging and rewarding tasks,
work on a product that helps better understand and manage our planet,
personal and career development.
About the Company
Flai is a geospatial AI scale-up on a mission to automate mapmaking from raw sensor data to high-quality, semantically rich 3D maps. We specialize in AI for large-scale 3D LiDAR point cloud analysis, serving national mapping agencies, utilities, infrastructure operators, and engineering companies worldwide.
Our technology enables customers to turn massive geospatial datasets into actionable intelligence using AI-driven, scalable processing pipelines.
To apply send us an email at jobs@flai.ai