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MLOps Engineer

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Full Remote
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Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., Experience with machine learning frameworks and tools such as TensorFlow or PyTorch., Proficiency in programming languages like Python and Java., Familiarity with cloud platforms and CI/CD pipelines..

Key responsabilities:

  • Design and implement MLOps pipelines for model deployment and monitoring.
  • Collaborate with data scientists to optimize machine learning models.
  • Automate workflows and ensure reproducibility of experiments.
  • Monitor system performance and troubleshoot issues in production environments.

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AUTOMAT-IT
51 - 200 Employees
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