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