Senior AI QA Engineer

New

Skills

AI/ML Pipeline Testing API Testing CI/CD Integration Data Pipeline Testing Defect Tracking Pytest Python Selenium Software Quality Assurance Test Automation

We are seeking a Senior AI QA Engineer with 4–6+ years of experience in software quality assurance, test automation, and validation of data-driven and AI/ML systems. This role involves test planning, automation framework development, API testing, CI/CD integration, and end-to-end testing of AI and data pipelines. The successful candidate will collaborate closely with engineering, data, and DevOps teams to ensure the delivery of high-quality, scalable AI solutions.

Key Responsibilities
  • Define and execute test planning, test strategy, and test cases for AI/ML and data-driven applications.
  • Develop and maintain automated test frameworks using Selenium and Pytest.
  • Perform API testing for RESTful services.
  • Validate data pipelines, ETL workflows, and ML model outputs.
  • Conduct end-to-end testing across the AI/ML lifecycle including data ingestion, training, inference, and deployment.
  • Integrate automated test suites into CI/CD pipelines.
  • Perform regression, integration, system, and performance testing.
  • Identify, document, and track defects to closure.
  • Collaborate with Data Engineers, ML Engineers, and DevOps teams.
  • Ensure adherence to QA standards, best practices, and compliance requirements.
  • Mentor junior QA team members when required.
Required Skills & Qualifications
  • Software Quality Assurance
  • Test Planning and Test Strategy
  • Test Automation with Selenium and Pytest
  • Python Programming
  • API Testing (REST)
  • CI/CD Integration
  • Data Pipeline Testing
  • AI/ML Pipeline Testing
  • Regression Testing
  • Defect Tracking
  • Git / Version Control

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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