Qa Data Science Engineer

Qualys

Not specified
Backend engineering experience
Experience with ml pipelines
Proficiency in pytest and airflow
Qualys is looking for a QA Data Science Engineer to enhance their Security Analytics products through strong collaboration with data scientists, engineers, and product managers. Ideal candidates should have a background in backend engineering, machine learning, and data pipelines, with a focus on quality assurance in AI-driven environments

Job Summary

  • Join a team focused on developing next-generation Security Analytics products.
  • Collaborate closely with data scientists, engineers, and product managers.
  • Establish QA best practices for Traditional ML and Generative AI workflows.

Matching Summary

Match Score: 75

Qualys is looking for a QA Data Science Engineer to enhance their Security Analytics products through strong collaboration with data scientists, engineers, and product managers. Ideal candidates should have a background in backend engineering, machine learning, and data pipelines, with a focus on quality assurance in AI-driven environments.

Skills & Requirements

Must-have

  • Backend engineering experience
  • Experience with ML pipelines
  • Proficiency in pytest and Airflow
  • Familiarity with API testing tools
  • Experience with CI/CD pipelines

Nice-to-have

  • Commitment to continuous learning
  • Familiarity with GenAI applications
  • Experience with cloud-native observability tools

Key Requirements

  • BS or MS in Computer Science
  • 2-5 years of experience in Data or ML projects

Work Rights

Not specified

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