Machine Learning Engineer - Allegro Pay @ Allegro
Core
Building and deploying machine learning models and data platforms for purchase financing and payment solutions serving millions of users.
Role type
Machine Learning Engineer (MLOps & Model Deployment)
Builds
Production ML models, MLOps pipelines, and a Feature Store for a FinTech platform.
Domain
FinTech / E-commerce / Machine Learning
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, Pandas, SQL, Airflow, DevOps principles, statistical and machine learning methods (decision trees, neural networks), FastAPI/Flask
Preferred skills
.NET ecosystem, cloud-based MLOps tools (AzureML, Google Vertex AI, AWS SageMaker), dbt, Kedro, MLFlow, Tableau
Technologies
Python, Snowflake, Airflow, Azure, Kedro, MLFlow, .NET, Kubernetes, Tableau
Responsibilities
Develop a modern MLOps ecosystem to automate model building and deployment; Design and implement platforms for training predictive models (classifiers, deep neural networks, graph models); Deploy models to production and optimize pipelines for Data Scientist self-service; Manage, monitor, and recalibrate deployed models; Support Feature Store development; Build connectors for FinTech AI platform and agentic workflows.
Seniority
Mid-level, hands-on IC