About this role
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)