Machine Learning Engineer (вакансія неактивна)

Understanding concepts of applied statistics and theory of probability
Understanding concepts of data mining, machine learning
Understanding how web working (http concepts)
Experience with machine learning algorithms (Naive Bayes, Decision trees, SVM, neural networks)
Data engineering (ETL) experience
Python
ML & DL libs & frameworks (NumPy, Pandas, Scikit-learn, SGBoost, TensorFlow)
Advanced SQL
Hadoop + Hive
Work with data and logs with console tools experience is a plus
Deep analytical skills
Root-cause analysis skill
Ability to structure results of own work and present it to non-technical colleagues

Very warm and friendly working environment
Continuous professional competencies development and professional growth opportunities
Free external and internal professional training and certifications
English language learning in the company office (different levels of language skills)
40-hours working week with flexible working hours
Annual paid vacations (20 working days)
Medical insurance and health protection programs
Compensation of the transport expenses for candidates from other cities invited to our Kyiv office for an interview
Corporate / team / special events
Challenging work in an international professional environment
Own restaurant in our office
Sports activities in our office gym with a personal coach (yoga, boxing, etc.)

Data analysis
ETL
Feature engineering
Models construction, training, testing & deploying

Our world-famous software combines cleaning, optimization, and security tools with exceptional service to support a community of 1.5+ million users.

Today we’re starting the transformation in our company to create high technology products that effectively protect and serve users—and their Macs—from the new security threats. Why?

Like you, we live our lives online. Like you, we share our data every day, not only willingly with banks, insurance companies, and our colleagues via email but also without even realizing it through interaction with advertisers, online thieves, and scammers. Like you, we need to be sure that our data is safe and protected. That’s why we decided to create a new level of protection for online users. We’re looking for talented specialists to join us—and help users take back control over security and privacy of their online lives.