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Quality Assurance skills
In demand
Advanced Test Automation: Mastery in designing and implementing complex automated testing frameworks is crucial. This includes understanding advanced scripting techniques and integrating automated tests into CI/CD pipelines.
AI & Machine Learning Integration: Proficiency in integrating AI and machine learning models into testing environments is becoming increasingly valuable. This involves understanding how to validate AI-driven features and ensure their accuracy and reliability.
Performance Engineering: In-depth knowledge of performance testing and optimization techniques is essential. This includes skills in identifying bottlenecks and understanding the nuances of system performance under varying loads.
Quality Assurance skills
Out of demand
Manual Regression Testing: The manual execution of regression tests is increasingly being replaced by automated test scripts and continuous integration pipelines, reducing the need for manual testers to perform repetitive checks.
Basic Test Case Design: Simple, repetitive test case design is becoming less necessary as AI-driven tools generate and optimize test cases automatically, making it less critical for QA professionals to manually create basic scenarios.
Routine Data Entry and Logging: The process of manually entering test data and logging results is being automated through advanced test management and reporting tools, minimizing the need for QA professionals to handle these routine tasks manually.
Use AI to find out how your skills match up the the changing demands of the AI-driven market:
