Lead Engineer- ML QA

4 weeks ago


abu dhabi, United Arab Emirates Core42 Full time
  • Lead and mentor a team of QA engineers to ensure the highest quality product delivery.
  • Design, implement, and oversee the overall QA strategy for machine learning-based products and services.
  • Collaborate closely with cross-functional teams, including software engineers, machine learning scientists, and product managers.
  • Design and execute test plans, including manual and automated test cases.
  • Monitor QA results and metrics, and report findings to senior management.
  • Lead root cause analysis and complex problem-solving initiatives for project issues.
  • Maintain up-to-date knowledge of the latest QA tools, frameworks, and best practices, and drive adoption across the QA team.
  • Ensure compliance with industry and company quality standards.

Qualifications
Skills and attributes to success

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • Minimum of 5 years of experience in a QA role, with at least 2 years in a leadership position.
  • In-depth experience with QA methodologies, tools, and processes.
  • Understanding of machine learning products lifecycle.
  • Strong experience with data quality assessment.
  • Proven experience in writing clear, concise, and comprehensive test plans and test cases.
  • Familiarity with software development lifecycle (SDLC) and agile methodologies.
  • Experience with cloud-based services and architectures.
  • Strong problem-solving skills and excellent attention to detail.
  • Domain experience in health, finance or climate industry is a plus.
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