ML Developer / Data Engineer

We will trust you

• Support and development of the data upload layer (from proprietary storage) to Python for training models (C++ and Python).
• Design, development, and use of a pipeline for regular playback-validation-deployment of models.
• Setting up the necessary infrastructure tasks (AWS).
• Implementation of tools for ML Experiment Tracking.
• Migrate existing models from Python to C++.
• Model performance optimization in production (struggle for 10s of microseconds).

We are looking for

• Advanced degree in Computer Science with strong fundamentals in algorithms, data structures, and distributed systems design and development.
• A passion for providing reliable and scalable ML infrastructure and experience in building automatic pipelines for learning-deployment models (AirFlow etc.).
• Experience in C++ development and writing production code in Python.
• Experience in writing Python wrappers for C++ or implementation in C++.

Desirable experience:

• Ability to identify and perform OS and hardware-level optimizations.
• Experience in using such frameworks as MLFlow, WandB, etc.
• Proficient in Linux, AWS, S3, Docker and Kubernetes.

We offer

• To join our new promising R&D direction and wide range of challenging non-trivial tasks.
• To be a part of a data-driven team of highly motivated and skilled engineers, architects, and mathematicians.
• Cutting-edge hardware and software in production (fast CPUs and network cards, fresh Linux and GCC, Conan for package management, latest Boost).
• No pressure from management, flexible workflow, and a wide range of opportunities to realize your own ideas.
• Competitive salary, social benefits, and relocation support.
• Twice per year, we have a performance review, according to the results of which you can count on a bonus equal to your annual salary or even more.