Data Scientist, Recommender Systems — iGaming (Lisbon)

Arrise; Lisboa; On-site; EUR 50,000 - 70,000; Full time

Job summary

ARRISE is seeking a Machine Learning Engineer in Lisbon to design and optimize end-to-end recommendation systems within its iGaming focus. You will build scalable ETL and ML pipelines, integrate multi-modal data, and continuously improve model quality to drive key business metrics.

You will collaborate with Data & Software Engineers to deliver production-ready solutions, with exposure to cloud platforms (Azure/AWS/GCP) and modern ML frameworks.

Qualifications

• Design and optimize end-to-end recommendation systems in iGaming.
• Build scalable ETL and ML pipelines.
• Collaborate with Data & Software Engineers to deliver production-ready solutions.
• Exposure to cloud platforms (Azure/AWS/GCP).

Responsibilities

• Design and optimize end-to-end recommendation systems.
• Build scalable ETL and ML pipelines.
• Integrate multi-modal data and improve model quality.
• Collaborate with Data & Software Engineers to deliver production-ready solutions.

Skills

Machine learning

ETL pipelines

Data integration

Python

Distributed systems

Tools

Azure

AWS

GCP

PyTorch

TensorFlow

Job description

ARRISE is seeking a Machine Learning Engineer in Lisbon to design and optimize end-to-end recommendation systems within its iGaming focus. You will build scalable ETL and ML pipelines, integrate multi-modal data, and continuously improve model quality to drive key business metrics.

You will collaborate with Data & Software Engineers to deliver production-ready solutions, with exposure to cloud platforms (Azure/AWS/GCP) and modern ML frameworks.