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Description: Area(s) of responsibility AI Innovation for Testing Technical Skills: - Proficiency in programming languages such as Python, Java, or C++ - Experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras - Knowledge of automation testing tools like Playwright, Selenium - Familiarity with data analysis and visualization tools (e.g., Pandas, Matplotlib, Tableau) - Understanding of cloud platforms (AWS, Azure, GCP) for deploying AI models and testing environments - Experience with DevOps practices and CI/CD pipelines (e.g., Jenkins, GitLab CI) - Knowledge of NLP, Computer Vision, or other AI subfields relevant to testing - Ability to work with large datasets and perform data preprocessing and feature engineering - Familiarity with containerization and orchestration tools (Docker, Kubernetes)