Position: Machine Learning Engineer
Company: ITRex Group
Experience required: 5y
Category: Data Science
English level: upper
Published: 2020-12-01T00:00:00+02:00

Our ExpectationsRequired
●5 years of working experience as an engineer including minimum 1.5+ years of professional experience in Data Science or Applied Machine Learning
●Proficiency with Python
●Hands-on experience with TensorFlow, Keras, Scikit
●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
●Experience in
○NodeJS
○AWS
○Messaging queues
○Ssh, bash, and LinuxYour 

Responsibilities
●Developing, testing, and deploying machine learning algorithms to support and improve business processes
●Creating and maintaining a framework for deploying machine learning algorithms
●Building applications to implement, track, and monitor models, ensuring the accuracy of deployed algorithms on an ongoing basis
●Engineering ML-based solutions and algorithms to meet the needs of various TMGbusiness units
●Conducting end-to-end analysis, including data gathering from internal and external sources; specifying requirements; processing, compiling, and validating data; and ensuring deliverables are met
●Collaborating with other technology and business teams to build creative and viable solutions
●Working hand-in-hand with Machine Learning Software Engineers to ensure a consistent and reliable ML pipeline

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