Position: Machine Learning Engineer
Company: ITRex Group
Category: Data Science
Experience required: 3y
English level: intermediate

About ITRex 
We write software, give advice and devise strategies. We do this to solve business problems for large and medium enterprises and startups. 

We employ 250+ in our offices in Minsk, Kyiv, Saint Petersburg, and Los Angeles, and have delivered successful projects to hundreds of clients including Walmart, TASC, Procter & Gamble, Dun & Bradstreet, Warner Bros., 21st Century Fox, and Dollar Shave Club. 

We’re about initiative, open communication, and self-motivated commitment. We prefer to work with people who are honestly giving their best to those too scared of ideas and decisions to ever make mistakes. 

If you have this same attitude, maybe we can do great new things together.

Our Expectations 

Required 
● Proficiency with Python (3 years of commercial experience)
● Good knowledge of Java 
● Solid engineering and coding skills with the ability to write high-performance production-quality code
● Good understanding of common families of machine learning models, feature engineering, feature selection, and other practical machine learning issues, such as overfitting 
● You can speak English at the Intermediate level (at least) 

Nice to have 
● Math, Statistics, Computer Science background
● Understanding of NLP, Tableau, Deep learning, TensorFlow, PyTorch 
● Scikit-learn, BERT, NER

Your Responsibilities 
● Participate in development lifecycle starting from research to product or feature launch
● Build and maintain Machine Learning models using Python and custom platform SDK built in Java
● Close collaboration with Data Science team working on customer’s problems
● Convert research code to production quality
● Take ownership of the existing solutions and maintain and enhance them

What We Offer
● Opportunity to work with amazing people in a friendly and engaging environment
● Competitive benefits package focused on work/life balance:
● Flexible work hours and remote work options
● 18 working days of paid leave
● 7 days of sick leave when you can be off work due to an illness without a medical certificate
* 3 days of unscheduled leave in exceptional circumstances (a childbirth, a wedding, etc.)
● Relocation options
● Health services at a medical center
● Thriving work environment
● An advanced career progression system
● Sports reimbursements
● Free English classes
● Corporate perks
● Regular corporate events
● Comfortable office
* Free tea, coffee, cookies and fruits
* PlayStation console and other relaxing activities
* Kicker