As a Computer Vision Engineer on our team, you will apply your knowledge to develop and maintain Computer Vision algorithms supporting a variety of tasks related to landmark detection and classification as well as machine learning data processing.
MAIN RESPONSIBILITIES AND TASKS
Work with other Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the fields of smart agriculture.
Develop new data acquisition, data processing, and machine learning pipelines
Research and development of computer vision and ML algorithms
Develop custom landmark detection and object detection models
Design custom Neural Network-based and classical machine learning-based (KNN, SVM, DT, Random Forest) classification models
Developing, maintaining, and testing features for new and existing applications
Training and hyper-parameter tuning for classification and landmark detection models
Communicate effectively and professionally
Prepare required technical documents
SKILLS AND EXPERIENCE REQUIRED**
Master's degree or above in computer science or software/computer/electrical engineering or related fields
Strong coding and programming skills in Python plus maintain high coding standards (Please share your GitHub/GitLab if available)
3+ years experience in applying computer vision and deep learning methods in the industry.
Extensive practical experience with modern deep learning frameworks (Pytorch or Tensorflow)
Mastery of classical machine learning algorithms for classification, regression, data preprocessing.
Experience with classic image processing and computer vision
Experience in launching and running Python scripts on Linux and Cloud servers
Familiarity with imaging techniques and depth map estimation is an asset
Ideally, you will have a basic understanding of Linux, Git, Cuda, and GPU
Understanding and developing APIs in a microservice architecture (FastAPI, Docker, PyTest)
Familiarity with Agile software development management is an asset
Proficiency in English (Reading and Writing) (Having related published papers in English is an asset)
Presentation skills in English
Team working mindset is essential
After-hours work may be required
* PLEASE SUBMIT YOUR RESUME AS A PDF FILE. * Please mention your EXPECTED START DATE in your application.
معرفی شرکت
شرکت واقع افزونگران رایاسپهر فعال در زمینه پردازش تصویر و واقعیت افزوده می باشد. در این پروژه شما در زمینه کشاورزی هوشمند با استفاده از پردازش تصویر مشغول به کار خواهید شد. پروژه ای بسیار هیجان انگیز برای کسانی که به دنبال چالش جهت ارتقای مهارتهای خود می باشند.