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.
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Machine Learning Specialist • Mysore, IN
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