Position: R&D Engineer - Machine Learning | Deep Learning
Category: Data Science
English level: fluent
Years of experience: 10

Count:
1) Content-based image retrieval system for 200M+ images in 2011 - check
2) Adult-content filter on AlexNet-based CNN in 2014 and heavily used by Yandex - check
3) Image near-duplicate detection system based on very small and efficient local feature descriptors. 
4) Real-time face recognition for Mexican Fintech startup called Mati optimized for low-end Android devices - check
5) Real-time face recognition for 4K video streams from 10 cameras using TensorRT - check
6) CNN that recognizes defects on printed circuit boards
7) Acoustic model (based on VGGish) that estimates your level of fluency in English - check
8) Model that estimates Big-5 traits from you Facebook, Twitter, Instagram profiles - check
Frameworks: PyTorch (a lot), sklearn (a lot) also did at least one project using TensorFlow, Keras, mxnet, Caffe, TensorRT, XGBoost, LightGBM and also ONNX as a glue. 
Cliud stack: AWS, Azure, GCP, Nvidia-docker.  
Languages: Python (5+ years), С++ (5+ years), CUDA-C, C#, HTML/CSS/JavaScript, Dart (sorted according to the amount of experience in decreasing order).

Most of the projects are around Computer Vision and NLP.
I have PhD in Functional Analysis, Master degree in Applied Mathematics.
Remote ML / DL Engineer in a product company would be great! Not product company is fine too. Not remote is worse but I will consider tempting offers.