Description

Key Responsibilities:

• Design AI Testing Solutions Develop intelligent testing frameworks and utilities that leverage AIML to automate complex testing scenarios across diverse project domains
• Assess Current Testing Scope Evaluate existing testing practices for brand marketing compensation systems and database validation identify gaps and opportunities for AI enhancement
• Build or Integrate AI Frameworks Implement or customize AI frameworks for
• Intelligent test case generation and prioritization
• Anomaly detection in test results
• Test coverage optimization
• Automated test data generation
• Shift Testing Perspective Introduce new testing methodologies that leverage AI to move beyond traditional scripted testing toward predictive and adaptive testing models
• Mentorship Knowledge Transfer Guide QE teams on new AIpowered tools best practices and collaborative workflows
• Proof of Concepts Deliver POCs demonstrating ROI on AI initiatives within 36 months

Required Qualifications:

• 5 years of software engineering or QA testing experience
• 3 years working with AIML technologies Python TensorFlow PyTorch scikit learn or similar
• Strong background intest automation frameworks Selenium Appium REST APIs etc
• Experience with data analysis and statistical validation
• Familiarity with testing domains functional performance database API testing
• Proficiency in Python Java or similar languages
• Strong problem solving and communication skills

Preferred Qualifications:

• Experience with LLM applications for test automation or documentation
• Knowledge of CICD pipelines and DevOps practices
• Experience with cloud platforms AWS Azure GCP
• Published work or contributions to AI testing communities

Key Skills

Education

Bachelor's degree