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Northbay

Senior AI QA Engineer

Reposted Yesterday
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.
The summary above was generated by AI

Job Title: Senior AI QA Engineer
Experience Required: 4–6 Years
Employment Type: Full-Time
Work Mode: Remote
Location: India

Job Summary

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. The role involves test planning, automation framework development, API testing, CI/CD integration, and end-to-end testing of AI and data pipelines. The candidate will work closely with engineering, data, and DevOps teams to ensure 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 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
  • Software Quality Assurance
  • Test Planning and Test Strategy
  • Test Automation
  • Selenium
  • Pytest
  • Python
  • API Testing (REST)
  • CI/CD Integration
  • Data Pipeline Testing
  • AI/ML Pipeline Testing
  • Regression Testing
  • Defect Tracking
  • Git / Version Control
Preferred Skills
  • Machine Learning model validation (accuracy, drift, bias)
  • Cloud platforms (AWS, Azure, GCP)
  • Docker and Kubernetes
  • Performance and Load Testing
  • Data Quality and Monitoring frameworks

Top Skills

Api Testing
Ci/Cd
Docker
Git
Kubernetes
Pytest
Python
Selenium

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