Position: Deep Learning Engineer; Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 3


Computer vision:
- image classification
- object detection
- semantic segmentation
- 3D semantic segmentation
- multi-camera multiple object tracking
- fast moving object tracking
- OCR

NLP:
- text classification

Basics:
linear and logistic regression, Naive Bayes, k-means, KNN, PCA, SVM, fully connected neural network

Related online courses:  
- Stanford courses: CS229, CS231n, CS20, CS131
- Coursera: Deep Learning specialization, Bayesian methods for Machine Learning
- Udacity: Introduction to computer vision