Recommender Systems ML Scientist

ARRISE; España; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

ARRISE is seeking a Senior Machine Learning Engineer to design and optimize end-to-end recommender pipelines and scalable ETL processes. You will develop, evaluate, and improve ML models for personalized experiences across iGaming platforms.

You will collaborate with Data Engineers, Software Engineers, and business stakeholders to deploy production-ready solutions, monitor quality, and drive data-driven product decisions in a global, fast-paced setting.

Formación

• Design, implement, and optimize end-to-end recommendation pipelines.
• Build and maintain scalable ETL pipelines for reliable data flows.
• Develop, evaluate, and improve ML models for recommendations.
• Research and implement SOTA approaches to improve quality and metrics.

Responsabilidades

• Collaborate with data engineers and software engineers to deliver production-ready solutions.
• Monitor model performance and system health; analyze A/B test results.
• Integrate multi-modal data from various systems into recommender models.

Conocimientos

Python

Data science

Machine learning

SQL

NoSQL databases

PyTorch

Cloud platforms

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Docker

CI/CD

Spark/BigQuery

Descripción del empleo

ARRISE is seeking a Senior Machine Learning Engineer to design and optimize end-to-end recommender pipelines and scalable ETL processes. You will develop, evaluate, and improve ML models for personalized experiences across iGaming platforms.

You will collaborate with Data Engineers, Software Engineers, and business stakeholders to deploy production-ready solutions, monitor quality, and drive data-driven product decisions in a global, fast-paced setting.