Machine Learning Engineer Offline
Required
● 5 years of working experience as engineer including minimum 1.5+ years of professional experience in Data Science or Applied Machine Learning
● Proficiency with Python
● Hands-on experience with SQL
● 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
○ A W S
○ Kafka
○ RabbitMQ
○ Ssh, bash, and Linux
Your 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 accuracyof deployed algorithms on an ongoing basis
● Engineering ML-based solutions and algorithms to meet the needs of various TMG business 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 ○ Gym, shower and bicycle parking in the building ○ Kicker, darts