Description

You lead QA strategy and execution for AI/ML, data-driven, and enterprise applications across multiple concurrent projects.

Responsibilities

• Define and implement QA strategies for AI/ML systems, including model validation, data quality checks, and continuous testing.
• Oversee manual, automation, API, and AI-focused testing covering functional, regression, performance, scalability, and integration.
• Drive test automation and intelligent testing initiatives for ML pipelines, APIs, and cloud-native services.
• Establish quality frameworks for model accuracy, bias detection, data drift, and reliability in AI-powered applications.
• Manage QA resource planning, mentoring, performance management, and career development for the team.

Required Skills

• 8+ years of experience in Software Quality Assurance, with 3+ years in a QA Lead or Test Manager role.
• Hands-on experience with Selenium, TestNG, JUnit, Postman, and JMeter or similar tools.
• Exposure to testing AI/ML systems, including data validation, model testing, and performance evaluation.
• Solid knowledge of CI/CD pipelines, Git, and DevOps-driven quality practices.
• Experience testing cloud-based applications on AWS and/or Azure.
• Strong understanding of QA methodologies, SDLC, Agile/Scrum, and defect management.
• Experience leading QA teams across multiple, complex projects in fast-paced environments.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

Preferred Skills

• Experience with ML pipelines is a strong plus.
• Excellent leadership, communication, stakeholder management, and decision-making skills.

Key Skills

Education

Any Gradute