Data Scientist - Recommender Systems

Arrise; Lisboa; Presencial; EUR 60 000 - 100 000; Tempo integral

Resumo da oferta

ARRISE is seeking a skilled Machine Learning Engineer to design and implement end-to-end recommendation pipelines and scalable ETL workflows. You will develop, evaluate, and continuously improve ML models for our high‑volume analytics environment.

You'll collaborate with Data Engineers and Software Engineers to deliver production‑ready solutions on cloud platforms, leveraging deep learning and NLP architectures to boost recommendation quality and business metrics.

Qualificações

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong Python experience with data science and ML libraries (Pandas, Polars, NumPy, scikit‑learn, PyTorch, TensorFlow, JAX, Hugging Face).
• Experience building and deploying end-to-end ML systems on cloud AI platforms (Azure, GCP, AWS), including ETL, deployment, monitoring, versioning, experiments.
• Strong understanding of deep learning-based recommender systems and NLP architectures for sequential patterns.
• Data transformation pipelines for OLTP and OLAP, with SQL and NoSQL (PostgreSQL, MySQL, Redshift, Snowflake, BigQuery, MongoDB, Cassandra).
• Experience with unit/integration testing (Pytest), CI/CD, and Docker.

Responsabilidades

• Design, implement, and optimize end-to-end recommendation pipelines from ingestion to inference.
• Build and maintain scalable ETL pipelines for reliable data flows.
• Develop, evaluate, and improve ML models for recommendation systems.

Conhecimentos

Python

ML pipelines

NLP architectures

Experiment tracking

CI/CD

Formação académica

Bachelor's degree in Computer Science

Master's degree in a related field

Ferramentas

Pandas

Polars

NumPy

scikit-learn

PyTorch

TensorFlow

JAX

Hugging Face

Azure

GCP

AWS

SQL

NoSQL

Descrição da oferta de emprego

ARRISE is seeking a skilled Machine Learning Engineer to design and implement end-to-end recommendation pipelines and scalable ETL workflows. You will develop, evaluate, and continuously improve ML models for our high‑volume analytics environment.

You'll collaborate with Data Engineers and Software Engineers to deliver production‑ready solutions on cloud platforms, leveraging deep learning and NLP architectures to boost recommendation quality and business metrics.