Machine Learning Specialist

Description

• Expertise in Agile Methodology
• Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
• Python Programming
• Proficiency in Python (preferred) and Java for AI and ML automation tasks.
• Testing AI & ML Models
• Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
• Automation Frameworks for AI
• Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI / ML applications.
• Estimation techniques for Automation testing efforts (Design and Execution).
• Cloud Automation Strategy
• Ability to develop automation test strategies for AI / ML applications deployed on public and private cloud environments .
• API and Web Services Testing
• Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
• CI / CD Automation
• Experience in testing and test planning for CI / CD solutions, especially for AI-driven products.
• Test Management Tools
• Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
• Various Testing Types
• Experience in Functional , Regression , UI / Usability , and Integration testing for AI / ML applications.
• Exposure to Cloud Platforms
• Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
• AI Product Workflow Understanding
• Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.