Apply Online
Interested candidates kindly apply before 04/05/2022.
CV must be in pdf format, saved with your Full name
Job Description: Computer vision Engineer
•Researching and developing scalable computer vision and machine learning solutions for complex problems
•Collaborate in cross-functional teams to integrate image analytics algorithms and software, as well as develop system prototypes
•Proficiency with vector quantization and clustering to build search engines and systems
•Understanding of computational geometry, statistics, and linear algebra
•Maintain and develop software modules for large-scale image and LiDAR data processing in the cloud
•Analyze and improve the efficiency and stability of various deployed systems
•Work well in a collaborative team environment
What We Look For
•3+ years of experience with computer vision, deep learning, and machine learning
•2+ years of experience in vectorization of raster data using computer vision
•2+ years of experience working with drawing/CAD/GIS file formats (extraction manipulation and generation Dxf,SVG shapefiles, etc)
•2+ years experience with programming languages like C, C++, Matlab and Python
•Experience with Unix and Linux command-line tools and scripts
•Experience in OpenCV or other computer vision libraries, as well as deep learning frameworks like Tensor Flow
•Experience with point cloud meshing, image segmentation, and 2D marker tracking
•Experience with three dimensional (3D) imaging concepts
•Proficiency with CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks)
•Excellent analytical, mathematical, communication, and problem-solving skills
•Keeps up with the latest advancements in technology related to the field
•B.S., M.S. or Ph.D. in computer science, computer vision, machine learning or other relatedfields
These Would Also Be Nice
•Experience with optimizing algorithms for embedded devices using OpenGL and OpenCL
•Experience with JIRA, Git, and agile project management
•Experience with WebRTC, ARM, and CUDA
We are no longer accepting applications for this ad.
