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Engineer - ML QA

Unlock employer Abu Dhabi, United Arab Emirates Posted: 27 Feb 2025

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Visa Provided

Requirements

  • Experience: Senior

Position

As an Engineer - ML QA, you will develop and execute quality assurance processes to ensure the accuracy, reliability, and performance of machine learning models and AI applications. Reporting to the Lead Engineer - ML QA, you will collaborate with data scientists, software engineers, and product teams to validate ML models and systems, maintaining high standards of quality for the company's AI and machine learning initiatives.

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Your responsibilities will include:

  • Designing and executing test plans, including manual and automated test cases.
  • Collaborating with cross-functional teams to ensure robust and reliable ML models.
  • Monitoring ML QA results and metrics, reporting findings to senior management.
  • Leading root cause analysis and complex problem-solving initiatives for project issues.
  • Maintaining knowledge of the latest QA tools, frameworks, and best practices.

Qualifications:

  • 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.
  • Experience with QA methodologies, tools, and processes.
  • Familiarity with software development lifecycle (SDLC) and agile methodologies.
  • Excellent verbal and written communication skills.

Skills:

  • Programming Languages: Python, Java, SQL
  • Testing Tools: Playwright, Selenium, JUnit, PyTest, Gatling, Postman, RestAssured
  • CI/CD: Jenkins, GitLab CI/CD
  • Version Control: Git
  • Cloud Services: Azure (optional AWS, GCP)
  • Databases: MySQL, MongoDB, PostgreSQL
  • Monitoring Tools: Grafana, Kibana
  • Collaboration Tools: Jira, Confluence
  • Other Technologies: Docker, Kubernetes

This role offers a chance to work in a diverse and inclusive environment, focusing on innovation and significant advancements in AI technology. If you possess a performance-driven mindset and are eager to create unique customer-centric solutions, we encourage you to apply.

Language Requirements: Proficient in English, additional language skills may be beneficial.

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