Overview

Location: Remote (Pune, India)

Experience: 5–10 Years

Duration: 6–12 Months

Employment Type: Contract

Note: Only Bench Resources Required

Key Responsibilities

• Design and implement AI-powered QA strategies using machine learning for predictive quality analytics, automated test generation, and intelligent defect prediction.
• Build advanced automation frameworks with self-healing scripts, intelligent test prioritization, and adaptive test coverage analysis.
• Develop AI-driven quality dashboards, reporting systems, and quality insights for data-driven decision making.
• Lead adoption of Agile, DevOps, CI/CD, and continuous testing practices in AI-enhanced development environments.
• Implement streamlined QA processes to improve release velocity while maintaining quality standards.
• Collaborate with Development, Product, and Operations teams to ensure quality across the SDLC.
• Drive innovation initiatives around AI-powered testing tools and emerging QA technologies.
• Mentor QA engineers on intelligent automation frameworks, AI-driven testing methodologies, and modern quality engineering practices.

Required Skills

• Hands-on experience with AI-powered testing platforms such as Testim, Mabl, Applitools, Functionize, or similar tools.
• Strong expertise in Selenium, Cypress, Playwright, and Appium.
• Experience with CI/CD pipelines, DevOps practices, containerization, and cloud-native testing.
• Proficiency in Python, Java, or JavaScript/TypeScript.
• 5+ years of QA experience with at least 2+ years in a leadership role.
• 3+ years of hands-on experience with AI-driven testing tools and methodologies.
• Experience leading QA transformation, automation strategy, and innovation initiatives.
• Strong analytical and problem-solving skills with expertise in quality metrics and reporting.
• Excellent communication and stakeholder management skills.

Good to Have

• Predictive analytics and AI-assisted defect management.
• Cloud platforms and enterprise-scale testing ecosystems.
• Performance, Security, and API Automation Testing.
• Experience in Digital Transformation or Enterprise Modernization programs.
• Strong interest in emerging AI technologies and continuous improvement culture.