Position: ML Engineer / MLOps Enginner
Category: Python
English level: upper
Years of experience: 5


More than 5 years of engineering and leadership experience in R&D, Machine Learning and AI. My core believes are threefold: AI should help people, not replace them, Team should be as close to end-user as possible, Engineer should struggle for best practices.
•	Programming: Python (proficient), C++ (basic), Rust (learning)
•	ML, CV, DL frameworks: pytorch, tensorflow, sklearn, pandas, xgboost, opencv
•	Backend: HTTP, RPC, FastAPI, Redis, RabbitMQ, Celery
•	Testing: unittests, pytest, sonarqube
•	CI/CD: Docker, Docker Compose, Kubernetes, Helm, Nexus, Github Actions
•	Cloud and Monitoring: AWS, Graphana stack (Prometeus, Graphana, Loki)
•	Other: Monorepo (pants 2), Power Tools (pre-commit, poetry, pipenv), inference servers (nvidia triton)

Currently looking into more MLOps direction.
Resume upon request