Pennylane SAS

Senior Machine Learning Engineer

Pennylane SAS
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1 year ago
Remote, Spain +2 moreSenior

Responsibilities

  • Design machine learning solutions and tools across training, tuning, deployment, inference, experimentation, and monitoring.
  • Contribute to the Data Platform, including data ingestion, validation, transport, storage, and exposure to consumers.
  • Collaborate with Machine Learning Engineers and Data Engineers to improve the data and ML ecosystem.
  • Work with Product teams to explore new opportunities and align solutions with user needs.
  • Own roadmap items autonomously and contribute to cross-team projects and technical best practices.
  • Share learnings and potentially mentor or help recruit new team members as the data team grows.

Benefits

  • Remote-friendly international work environment with employees working across Europe.
  • Structured onboarding during the first week and opportunities for increasing project ownership and leadership.

Tech Stack

Amazon RedshiftApache AirflowPython

Categories

Data EngineeringML Engineering
Pennylane SAS

About Pennylane SAS

1,001-5,000 employees
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