
Senior AI Automation Specialist
7 days ago
- Expertise in Agile Methodology: Strong foundation in Agile principles and methodologies.
- Programming Expertise: Proficiency in Python and Java for AI and ML automation tasks, with experience in designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications.
- Generative AI Models Testing: Hands-on experience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems.
- Automation Frameworks: Skilled in designing and developing cloud automation strategies for public and private cloud environments.
- Estimation Techniques: Experienced in estimation techniques for Automation testing efforts (Design and Execution).
- API and Web Services Testing: Familiarity with API and Web Services Testing using RESTful APIs and Web services with Postman and Rest API.
- CI/CD Automation: Experience in CI/CD Automation testing and test planning for CI/CD solutions.
- Test Management Tools: Familiarity with Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
- AI/ML Application Testing: Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.
- Cloud Platforms: Exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
- Agentic Workflows: Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.
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