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Machine Learning Engineer - Remote

Posted 6 weeks ago
Software Development
Full Time
Spain

Overview

As a Machine Learning Engineer at Datatonic, you will engineer beautiful code in Python and advocate for high-quality engineering and best practices in production software.

In Short

  • Hands-on technical role focused on machine learning solutions.
  • Collaborate with team members to deliver impactful solutions.
  • Contribute to the development of machine learning solutions.
  • Participate in project scoping and ensure successful delivery.
  • Strong ML and Data Science fundamentals required.
  • Comfortable with model optimisation and deployment tools.
  • Excellent communication and consulting skills needed.
  • Experience with Python and machine learning libraries.
  • Familiarity with cloud platforms like Google Cloud.
  • Strong knowledge of SQL for data management.

Requirements

  • 1–3 years as a Machine Learning Engineer.
  • Proficiency in Python and CI/CD pipelines.
  • Experience with cloud platforms (Google Cloud, AWS, Azure).
  • Hands-on experience with software engineering practices.
  • Strong knowledge of SQL.
  • Experience scaling computations using GPUs.
  • Familiarity with exposing ML components through web services.
  • Strong communication and presentation skills.

Benefits

  • 25 days holiday plus bank holidays.
  • €840 Private Health Insurance Allowance per year.
  • €300 Working From Home Allowance per year.
  • Access to learning platforms like Udemy.
  • €120 Home Equipment Allowance.
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Datatonic

Datatonic is a UK-based company and a premier partner of Google Cloud in AI, specializing in machine learning, data engineering, and analytics on the Google Cloud Platform. The company is dedicated to driving transformation for world-class businesses by pushing the boundaries of technology. With a focus on innovation, Datatonic empowers clients to future-proof their operations and unlock actionable insights in a rapidly evolving landscape. The Canadian division operates remotely, fostering a collaborative environment for AI enthusiasts and data experts across North and South America.

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