Принимайте участие в зарплатном опросе! Уже собрано почти 8 000 анкет.
DataRobot is a Boston-based tech company with offices in New York, London, Kyiv, Singapore, Tokyo, and Sydney.
9 декабря 2019

Mid/Sen Python Engineer, AI API

Киев, Харьков, Львов, Одесса

Необходимые навыки

3+ years development experience in Python
Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise
Linux proficiency
System/performance engineering (profiling process memory/cpu/io/network usage, system calls, flame graphs)
Personal drive to get things finished
Effective communication behavior

Будет плюсом

8+ years development experience
Publicly reviewable contributions to interesting development projects
Experience with both python 2 and 3
Experience with R
Experience supporting user-facing code and APIs
Data Science experience
Experience/understanding resource management services workflow (Hadoop/Yarn, Mesos, Kubernetes, AWS, OpenStack, Docker or any other)

Обязанности

Develop, test, and support features of DataRobot
Create and maintain automated unit tests and functional tests
Design infrastructure for new features with the input of peers
Plan capacity, manage application performance
Manage individual projects and milestones with abundant communication of progress
Seek, give, and receive critical feedback in a constructive manner, including but not limited to code review

О проекте

DataRobot accelerates the process of building predictive models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on. Our headquarters is in Boston, with offices in Kiev, Singapore, and Tokyo.

In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. Primary responsibilities of this team include developing new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team uses the following technology on a routine basis: Python, Flask, MongoDB, pytest, docker, Redis, NGINX and RabbitMQ among many others.

LinkedIn