Разработка сложных бэкенд приложений и приложений с искусственным интеллектом. Компьютерное зрение, речевые технологии, рекомендательные системы.

Languages: Python/GO/Kotlin

Backend and REST: Python FastAPI/Django, Kotlin Micronaut, GO Gin, Beego

Databases: PostgreSQL, MongoDB, Cassandra

Queues: RabbitMQ, Kaffka

Git-flow

Cloud: Amazon (S3, EC2/P* Instances e.t.c), Azure, Hetzner

Logging + Visualization: Logstash/Fluentd, Kibana, Elastic

Docker

ML: Pytorch, Tensorflow, scikit, pandas etc. Jupyter workflow.

ML technologies: Deep Neural Nets (CNNs, RNN - LSTM, TDNN, Seq-to-Seq, FastText, WaveNets etc), GANs e.t.c

Neural Net Inference: DeepStream, TensorRT, port into mobile and embedded devices with quantization and distillation.

PM: JIRA, Redmine