Machine Learning Engineer - Allegro Pay
Core
Building and deploying machine learning models and MLOps infrastructure for purchase financing and payment solutions at scale.
Role type
Machine Learning Engineer (MLOps & Model Deployment)
Builds
Production ML models, MLOps pipelines, and a Feature Store for the Allegro Pay platform.
Domain
FinTech / E-commerce / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, PyTorch, Pandas, FastAPI/Flask, Airflow, Kubernetes, DevOps principles, statistical methods, decision trees, neural networks
Preferred skills
.NET ecosystem, AzureML, Google Vertex AI, AWS Sagemaker, dbt, modern SQL-based data transformation frameworks
Technologies
Python, Snowflake, Airflow, Azure, Kedro, MLFlow, .NET, Kubernetes, Tableau, scikit-learn, PyTorch, Pandas, FastAPI, Flask, Opencode, Codex, Claude, Dagster, AzureML, Google Vertex AI, AWS Sagemaker, dbt, Kubernetes, Docker, Consul, GitHub, GitHub Actions, Hermes
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 (2+ years experience), hands-on IC
