Allegro
Junior Machine Learning Engineer (e-Xperience Associate)
Job Description
Job Description
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)