Qureos

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MLOps Engineer

About the job MLOps Engineer

Purpose of the job

Act as the production arm for the data science team where we serve 30M+ subscribers

Duties and responsibilities

  • Assist in setting up and maintaining machine learning development environments.
  • Support data scientists in packaging and deploying models.
  • Automate data ingestion and preprocessing pipelines.
  • Monitor model performance and system logs.
  • Write CI/CD pipelines for ML and LLM workflows.

Skills

  • Solid understanding of ML lifecycle and model deployment.
  • Experience with Docker, Git, and bash scripting.
  • Exposure to CI/CD tools (GitHub Actions, Jenkins, or GitLab CI).
  • Experience with SQL
  • Exposure to deep learning frameworks (TensorFlow, PyTorch)
  • Exposure to Gen AI tools (Hugging Face, LLM APIs).

Job specification

Education

Bachelors degree in Computer Science, Engineering or Statistics.

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