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

About us

We are a global IT consulting and development company with a We Care attitude, striving to create momentum in our clients’ digital transformation.

Our 300+ team brings together creative and talented cross-functional experts who are hungry for the success of every project.

We have delivered hundreds of game-changing solutions to Fortune 500 giants, mid-market companies, and startups and pride ourselves on being part of a success story of global leaders such as Walmart, TASC, Procter & Gamble, Dun & Bradstreet, Warner Bros., 21st Century Fox, Dollar Shave Club or JibJab.

We value initiative, open communication, and self-motivated commitment rather than compliance and box-ticking, and are looking for like-minded individuals who share our passion for doing great new things together.

Our expectations
Required

●3+ years of professional experience in Data
Science or Applied Machine Learning
●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
●Experience with Gradient Boost Models such as XGBoost or
LightGBM
●Excellent communication and collaboration skills
● Upper-Intermediate English

Nice to have
●Experience with Amazon SageMaker

Your responsibilities
●Collaborate with technology and business teams to build viable
solutions
●Conduct end-to-end analysis, including data gathering;
specifying requirements; processing, compiling and validating
data; and ensuring deliverables are met
●Obtain knowledge from the technology team regarding current
implementation
●Review proposed improvements and implement models with
desired quality
●Create and maintain a framework for deploying machine
learning algorithms
●Build training and inference pipeline using AWS SageMaker

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 (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