Senior ML Data Scientist – Real-Time Models (Lisbon)

Relocate.me

Lisboa

Híbrido

EUR 70 000 - 110 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Advanced relocation package
Flight ticket
Moving expenses reimbursement
Housing search assistance
Visa services
Adaptation tips

Resumo da oferta

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team in Lisbon. You will build production-ready models and scalable data products, exploring vast data sets to drive business value.

Collaborate with product and engineering teams to deploy real-time and batch predictions while leveraging Kubernetes and cloud infrastructure. The role emphasizes strong ML technique knowledge, Python and SQL fluency, and experience with a range of tools (PyTorch/TensorFlow, Docker,

Qualificações

  • 5+ years of experience in data science or ML roles.
  • Fluent in Python and SQL.
  • Experience deploying ML models serving real-time responses at scale.
  • Ability to work with cross-functional teams to define data products.
  • Strong quantitative background in statistics or related field.

Responsabilidades

  • Build production-ready ML models and scalable data products.
  • Explore large mobile/web data to identify ML opportunities.
  • Deploy scalable models on cloud infrastructure and Kubernetes.
  • Collaborate with product, design and analytics teams to improve tools.
  • Provide guidance and mentorship to teammates on ML techniques.

Conhecimentos

Python
SQL
Machine Learning
Data Science
Model Deployment

Ferramentas

PyTorch/TensorFlow
Docker
Kubernetes
Google BigQuery
MySQL
Spark
Airflow
Kafka
CI/CD
nginx

Descrição da oferta de emprego

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team in Lisbon. You will build production-ready models and scalable data products, exploring vast data sets to drive business value.

Collaborate with product and engineering teams to deploy real-time and batch predictions while leveraging Kubernetes and cloud infrastructure. The role emphasizes strong ML technique knowledge, Python and SQL fluency, and experience with a range of tools (PyTorch/TensorFlow, Docker,

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