WHAT WILL YOU WORK CONSIST OF:
- Designing, developing, optimizing and maintenance of data and Machine Learning training pipelines
- Collaborating with our Data Scientists as well as with Software Engineers, Product and Data teams across the model lifecycle
- Production-running model management, monitoring and tuning
WE ARE LOOKING FOR PEOPLE WHO:
- Have a bachelor or master's in machine learning, mathematics, computer science, statistics or related fields
- Have proficiency in Python
- Know ML models lifecycle
- Have a practical experience in ML-based solutions development
- Have a knowledge of ML algorithms and common libraries used to deal with models
- Have prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure)
- Have a practical experience in Python microservices and libraries development as well as maintenance
- Can independently make decisions within a designated scope and take full responsibility for tasks taken, throughout their entire lifecycle: from engineering requirements and implementation to deployment and maintenance
- Have an advanced knowledge of SQL
- Know English at a minimum level of B2
WHAT WE OFFER:
- High impact and opportunity to design the ML backbone of largest eCommerce platform in Poland and one of largest in Europe
- Development opportunities in designing cutting edge solutions at scale that bring real value to customers
- Possibility to implement ML solutions which are unique on the market
- Support of experienced Machine Learning Engineers, Research Engineers, Data Engineers and Data Scientists - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
- A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
- Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)
- A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
- English classes that we pay for related to the specific nature of your job
- A 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs) and all other gadgets that you should need
- A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
- Hackathons, team tourism, development days, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)