Computer Vision and Deep Learning Engineer

models. * Conduct research to explore novel techniques and algorithms. * Stay updated with recent advancements in the field. * Design and utilize various metrics to evaluate your work. Data Analysis: *Prepare, filter, process, and analyze large-scale datasets to train and evaluate models. *Analyze the results of your algorithm and compare with other leading methods. Algorithm Optimization: * Optimize models for real-time performance and resource efficiency. Collaboration: * Work in sync with interdisciplinary teams to integrate models into larger products or research studies. * Collaborate with international teams.

Minimum Qualifications

• Strong foundation in computer vision, machine learning, and deep learning.

• Knowledge in the field of 3D computer vision techniques (e.g. stereo, structure from motion, camera model).

• Proficiency in Python and deep learning frameworks (e.g. PyTorch).

• Experience in working with large scale datasets.

• Experience with optimizing models in both size and runtime

Preferred Qualifications

• PhD or Master's degree in Computer Science, Electrical Engineering, or related field.
• Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV).
• Analytical and detail-oriented with a knack for problem-solving.
• Proficient in both written and verbal communication.
• Ability to work both autonomously and collaboratively.
• Friendliness