- Private health care
We provide access to the best specialists for you and your loved ones. - Language classes
English and German lessons in small groups, tailored to your skills. - Remote work and flexible working hours
Possibility of partial remote work, as well as adjusting working hours to your daily schedule. - Office in the center of Wrocław
Nearby cinema, fitness club and large selection of lunch places. - Fruit Mondays
There is no shortage of coffee, fruit, pizza, sweets and healthy snacks in our office. - Company events in the best company
After hours we often organize interesting outings or meetings in our office. What you can count for: - Interesting and challenging work in a dynamic environment of the Internet industry - you will not get bored with us
- The possibility of real shaping of the business - we value independence and delegate responsibility,
- Gaining experience in an international team, operating in different European markets.
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Machine Learning Engineer - Wrocław, Polska - Limango
Opis
Machine Learning Engineer
As limango we create a company which has been specializing in e-commerce for 17 years. Together with platforms in the Netherlands, Poland and Germany, we are part of the OTTO Group, one of Europe's leading e-commerce companies. We are the shopping platform with the largest selection of products for the whole familyWe work and play together. We value work-life balance and create a culture of respect, trust and equality. If these values are also key for you, there is a good chance that you will find your place with us.
Your role and main tasks
Goal of the Position:- Improve business decisions by extending the usage of Machine Learning/Artificial Intelligence
Daily tasks of the position:
- Understanding business requirements by creating and analyzing dashboards
- Developing coded solutions to solve business problems effectively and holistically
- Maintaining and improving running solutions in the Google Cloud Platform
Projects of the position:
- Improve Dynamic Pricing
- Improve Demand Forecasting
- Develop Size Recommendation
You will need
Professional requirements for the candidate:- A degree in Computer Science, Physics, Data Science, Statistics, Business Informatics, or similar fields
- Existing experience in Machine Learning, especially with quantitative data, for example, in the finance sector
- Existing experience in Machine Learning, especially in working with text-based and visual data
- Solid knowledge of the programming languages Python, SQL, and PySpark are beneficial
- Practical experience working in Google Cloud or comparable cloud services
Personal requirement for the candidate:
- A passionate and focused work ethic in combination with practical approach
- The ability to deeply analyze complex problem situations and data structures to derive goal-oriented solutions
- A high degree of independence and the motivation to work in a dynamic environment
Benefits
Sounds good?
We can''t wait to get to know you.