AI Testing Engineer Media Generation

About the Company: Everest DX We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation. Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed. To know more please visit: http://www.everestdx.com Job Title AI Testing Engineer Media Generation Experience: 35 Years Location: Hyderabad / Bangalore Employment Type: Full-Time About the Role We are seeking a skilled AI Testing Engineer with 35 years of experience to validate AI-powered image generation and enhancement solutions. The ideal candidate should have experience evaluating AI-generated media for quality, accuracy, model performance, and copyright compliance across enterprise AI platforms. This role involves working closely with AI Engineers, Product Teams, and Data Scientists to ensure AI-generated content meets enterprise quality, security, and Responsible AI standards. Key Responsibilities Validate AI-generated images for visual quality, consistency, and prompt accuracy.Perform functional and regression testing of AI image generation and enhancement models.Evaluate AI-generated content for image quality, sharpness, resolution, color accuracy, texture preservation, artifacts, and realism.Test AI-powered media generation platforms including Adobe Firefly, Magnific AI, OpenAI Image APIs, FLUX, Stable Diffusion, and similar technologies.Compare outputs across multiple AI models and benchmark performance based on quality, consistency, and business requirements.Validate AI-generated images for copyright, licensing, intellectual property, and Responsible AI compliance.Identify copyrighted logos, trademarks, branded assets, and potential copyright risks in generated images.Validate image enhancement capabilities such as image upscaling, restoration, Generative Fill, image editing, background replacement, and image expansion.Perform API testing for AI image generation and enhancement services.Develop and execute automated test cases for AI workflows using Python and automation frameworks.Document defects, prepare test reports, and collaborate with AI Engineering teams to improve model quality.Participate in AI model validation, regression testing, and release certification.Contribute to AI quality standards, testing frameworks, and best practices. Required Skills 35 years of experience in Software Testing, Quality Engineering, or AI Testing.Experience testing AI-powered applications or Generative AI solutions.Strong understanding of AI image generation and enhancement workflows.Hands-on experience with one or more AI platforms such as:Adobe FireflyMagnific AIOpenAI Image APIsStable DiffusionFLUXMidjourneyIdeogramExperience in image quality validation and visual inspection.Understanding of AI model evaluation and prompt-based testing.Knowledge of copyright, image licensing, Responsible AI, and AI governance principles.Experience in REST API testing using Postman or similar tools.Proficiency in Python for test automation.Experience with PyTest, Playwright, Selenium, or Robot Framework.Familiarity with Git, Azure DevOps, or GitHub.Strong analytical, debugging, and documentation skills.Preferred Skills Experience with Computer Vision or Generative AI applications.Knowledge of OpenCV, Pillow, or image processing libraries.Understanding of AI image classification and model benchmarking.Experience working with cloud platforms such as Microsoft Azure or AWS.Exposure to MLOps, CI/CD pipelines, and AI model lifecycle management.Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. .