Position: Machine Learning Engineer
Company: GRANDZ
Experience required: 2y
Category: Data Science
English level: upper
Published: 2021-11-01T00:00:00+02:00

The Grandz company is engaged in Shopify development for eCommerce. Our clients are retail companies from the USA and Great Britain. We take orders for outsourcing and out staff, starting from project initiation, right up to launch, and further support.

We are looking for a candidate for a fast-growing Dutch tech start-up. It is a platform where various brands can list and sell their products, at this stage, there are 90 active brands on the platform and more than 600 brands on the waiting list. 


  **As a Machine Learning Engineer: **
1. You will be responsible for designing multiple context-aware recommendation systems within our e-commerce platform and on external locations outside of our e-commerce platform. 
2. You will develop a recommendation engine in Python and set up a framework to (re)-train, predict and evaluate with live consumer data. 

   You will get the opportunity to work with a model in production and instantly see the effect of your work.

   Working closely with our Data, Software Engineering and Management team, you will rapidly turn insights and ideas into new features and improvements of the current data and recommendation framework.

 **Requirements:**
• You completed a relevant Bachelor or Master
• You have 2+ years of experience as a Machine Learning Engineer preferably
within the field of e-commerce search, recommendation, or advertising.
• You are experienced in Python and have good coding skills.
• You deploy a good data structure.
• English Upper-Intermediate
• Experience with recommendation systems (with possible specialization in one or multiple areas: ranking, reall, user profiling or content understanding)
• In-depth understanding of e-commerce, to optimize recommendation strategies like customer lifecycle analytics and cold start solutions
• In-depth understanding of machine learning algorithms such as ALS / Matrix Factorization.
• Extra experience familiarity with Postgres will be a plus.

**We offer:**

• The freedom and responsibility to make a real difference
• An informal and international environment, with a bright and young team
• Flexible working schedule
• Stable and competitive salary linked with a planned review
• Paid sick leave and vacation
• Fully equipped office space in the IQ Business Center (Kyiv) or working remotely
• Work-life balance

We expect you to be entrepreneurial by taking complete ownership over your tasks and role while being proactive and curious.

Be sure, you’ll get an answer within a working hour.