2,5+ years of software development experience;
Python and basic libraries for machine learning such as Scikit-Learn and Pandas;
Proficiency with frameworks such as TensorFlow, Keras, Spark or Caffe;
Hands on experience with AWS and cloud-based computing environments, including technologies like EMR and S3;
Experience with MongoDB and PostgreSQL;
You can speak English at the Intermediate level (at least).
Experience in deploying machine learning models to production;
Understanding of multiple machine learning algorithms like Support Vector Machines, Random Forests, and Neural Networks;
Expertise in visualizing and manipulating big datasets for exploratory data analysis.
Work with interesting large-scale US project, one of the market leaders in the field and great professional team;
Flexible work schedule;
Friendly and engaging professional team;
Environment open for professional growth;
Compensation of sports;
Kicker and other relaxing activities;
Regular corporate events;
Nice office with beautiful kitchen and delicious buffet at the business center :)
Explore algorithms that could be used to solve a given problem and making tradeoffs depending on different metrics;
Manage the machine learning model lifecycle from the development stages to the iteration and improvement process once the model is live;
Architect scalable and reliable machine learning services to process production data in nearly real-time;
Help evaluate new tools and technologies to keep the technology stack at the cutting edge;
Help debug critical issues in complex microservice architectures.
This is the leading social network for meeting new people in the US and the public market
leader for social discovery. The main mission is to improve members’ lives by introducing
them to fun and interesting people who share their passions, interests, and ideals.
The stack of technologies: Python (also NodeJS and Java), TensorFlow, Keras, Spark, Caffe, AWS (EMR, S3), MySQL, PostgreSQL.