Job Description

Embark on a dynamic journey with Allegro’s talent Program, e-Xperience 2024, spanning from September 1st, 2024, to February 28th, 2025. Upon successful completion, we aim to extend a permanent contract, fostering your professional growth and development.
Are you ready to kickstart your career? Apply now and seize the chance to shape the future of e-commerce!

A hybrid work model that incorporates solutions developed by the leader and the team.

What does this role involve

• You will join a team responsible for deployment and maintenance of Allegro Pay's ML models
• You will help in building our internal ML Platform, leveraging Azure cloud and technologies like MLFlow and Kedro
• You will use Snowflake and Airflow to manipulate massive amounts of data
• You will write lots of Python code and have it thoroughly reviewed
• You will learn how to apply the best MLOps practices

We are looking for people who

• Are fluent in Python
• Are passionate about practical applications of ML
• Have decent analytical skills and know SQL
• Are curious and eager to learn new things
• Are not afraid to challenge the status quo
• Know English at B2+ level

What we offer

• A hybrid work model that you will agree on with your leader and the team. We have well-located office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• 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
• The necessary tools for work
• Working in a team you can always count on — Allegro has best-in-class specialists and experts to learn from
• Hackathons 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)

Why is it worth working with us

• Big Data – several petabytes of data and Machine Learning used in production
• We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team
• Our deployment environment combines private Data Centers (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)
• Over 100 original open source projects and a few thousand stars on github

Do you want to get to know us better? Listen to: Allegro Tech Podcast
Send in your CV, join the e-Xperience and see why it is #dobrzetubyć (#goodtobehere)