— The ML engineer will be responsible for the whole circle of model development: the selection of model type, ML part of data preparation, training, evaluation of model performance, and preparing for production use

Чем Вы должны обладать

Обязательно

— The ability to perform all stages of Machine Learning services development — from data collection to production deployment
— Experience in data preparation, data normalization, and feature engineering for Machine Learning
— Advanced level in TensorFlow and Keras
— Experience in Data Science
— Experience in programming on Python
— Strong math background for Machine Learning and Data Science
— Experience in data collection from different data sources (SQL databases, third-party services)
— Experience with SQL databases (PostgreSQL / MS SQL / MySQL)

Желательно

— Experience with NLP — from W2V to Transformers
— Experience with Docker
— Experience with AWS
— Experience with large datasets

Что Вы получаете Предлагаем

— High & competitive salary
— Challenging work in an international professional environment
— Opportunity to influence software development process, to be the owner of the product in your field of expertise
— Opportunity to apply SAFe methodology
— Flexible management
— Flexible / Casual Leave
— Relocation Bonus when moving from a different city / country
— Full benefits package: paid vacation and sick leave
— Continuous professional development (free internal and external professional trainings)
— Free English classes in the company office
— Free use of the services provided by Namecheap
— Quarterly teambuilding activities and company corporate events
— RDX gym membership
— Coffee, tea, fruits