PROJECT ROLE :
Our Client is one of Scandinavia’s fastest growing eCommerce businesses. They are a dynamic and young company with more than 200 employees, passionately working to connect all fashion boutiques and brands in Europe on their platform.
They expect to triple their business over the next 3 years.
You will become part of an international, diverse team of ambitious and dedicated subject matter experts to inspire and support you.
We’re looking for an experienced IT enthusiast with wide knowledge and a can do attitude to join our client as new Machine Learning Engineer.
Scout and innovate with Machine / Deep Learning technologies that create a business value in ecommerce sector
Leverage MLOps in a Google Cloud Platform Environment for learning pipelines, models deployment and solution optimization
Work with Production Engineers to deliver a stable, secure and reliable eco-system
Work with your Product Owners to refine, design and implement business case improvements
Help the client design and build the next level of client's data usage
Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools to ensure optimal scalability and performance of the solution
At least 2 years of proven working experience as a Machine Learning Engineer
Experience of using at least one of the programming languages : PHP, GO or JAVA
Familiar with AutoML
A good understanding of data modeling concepts
Versed in a chosen statistical method (e.g. Support Vector Machines (SVM), Recurring Neural Network (RNN), LSTM, Random Forest, K Nearest Neighbour, Sarima or similar)
Strong analytical and problem solving skills
Fluent in English
WE OFFER :
Constant contact with the recruiter during the process and feedback regardless of the recruitment result .
Support for the Cross Project Manager during the cooperation.
Attractive remuneration in the B2B model depending on your competences and experience.
Occasional company integration meetings .
ProData Consult mobile application - easy reporting of working time, quick access to new offers.