Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
A hybrid work model requires 1 day a week in the office (Warsaw).
Allegro Pay is Central Europes largest and fastestgrowing FinTech the only place where financial solutions can be created at such a large scale using stateoftheart technology. We work on purchase financing and payment methods used daily by customers of Allegro the most popular shopping platform in Poland and one of the largest ecommerce companies in Europe. We seek talented people who want to create powerful and robust solutions supporting a product with over a dozen million active users.
As a Senior Machine Learning Engineer you will be responsible for the machine learning / data platform in Allegro Pay and support Data Scientists in building machine learning models making businesscritical decisions and enabling shipping models to production while ensuring their high availability and performance. More precisely you will:
Develop a modern MLOps ecosystem aimed at automating the process of building and deploying machine learning models
Extend platform capabilities in GenAI space
Design and implement a modern platform for training predictive models (classifiers & regression deep neural networks graph models)
Deploy models to production and optimise deployment pipelines to enable Data Scientists selfservice
Manage monitor and recalibrate models deployed to production
Support work on our Feature Store an application providing predictors for models operating in production
Work with diverse data structures such as geographic data event sequences digital device fingerprints
Align ML platform roadmap with business and research needs through collaboration with diverse stakeholders
Support and advise junior ML Engineers in your space.
Technologies youll encounter on the job are (among others) Python Snowflake Airflow Azure Kedro MLFlow .NET Kubernetes Tableau
Why is it worth working with us and what sets us apart
We are an experienced team that is not afraid of hard problems and is constantly looking for development opportunities. We deploy our models at a scale found nowhere else in Poland
We approach the development of analytical solutions with an engineering mindset drawing from methodologies originating in classical software development
You will be working on applications of ML in the finance sector where the scale sophistication of algorithms impact on business and technical requirements will be the key challenges
You will directly influence predictive models which change the way how millions of Allegro customers interact with the platform in realtime
Our employees regularly attend conferences in Poland and abroad (Europe & US) and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge we will always support you
We offer:
Community of experienced Machine Learning/Data/Software Engineers & Data Scientists there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
Possibility to lead implementation ML solutions which are unique on the market
Our office which is located in one of the most vibrant and desirable locations in Warsaw Fabryka Norblina. We enjoy numerous lunch spots fully equipped kitchens bicycle parking facilities and excellent working tools (heightadjustable 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)
Annual bonus of up to 10% of the gross annual salary (depending on your endyear assessment and the companys results)
Longterm discretionary incentive plan based on Allegro.eu shares
Fully sponsored English classes related to the specific nature of your job
Our offer is addressed to people who:
Graduated with a degree in Computer Science Mathematics or another technical major
Have at least 3 years of experience in building MLdriven solutions
Fluently program in Python know libraries from the MLEs toolchain (scikitlearn PyTorch/tensorflow Pandas FastAPI/Flask) and use development tools with ease
Has experience with modern Pythonbased orchestration tools (Airflow Dagster)
Has worked with MLOps tooling like Azure ML AWS Sagemaker Kubeflow MLFlow
Has good analytical skills and know SQL
Knows and applies the DevOps principles in their work
Understand statistical and machine learning methods especially algorithms based on decision trees and neural networks on a practical level
Are able to make independent decisions within the scope of their responsibilities and take ownership of the code they created
Nicetohave:
Experience with the .NET ecosystem
Experience with modern SQLbased data transformation frameworks dbt
Submit your CV and join Allegro Pay!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
