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Senior AI/ML Engineer Primary Skills - Gen AI QA JD - along with ETL QA JD include these points Strong QA/testing experience (manual and automation), preferably in AI/ML-based applications. - Understanding of machine learning concepts, LLMs, generative AI (e.g., GPT, Claude, DALLE, Stable Diffusion). - Experience with Python-based test frameworks (e.g., PyTest, Unittest). - Familiarity with RESTful APIs, Postman, and JSON.Ability to evaluate natural language output for tone, accuracy, and appropriateness. - Knowledge of prompt engineering basics and prompt evaluation techniques. - Exposure to tools such as LangChain, OpenAI API, HuggingFace, or Vertex AI is a plus. - Solid analytical and problem-solving skills. - JavaScript, Requirement Gathering, Adobe Launch, Mobile Analytics Implementation, Google Tag Management, 3rd Party Pixel Implementation, Analytics Implementation Technical Documentation, A/B Testing Implementation, Adobe Analytics Implementation, Analytics Solution Architecting, DataLayer Architecture, Google Analytics Implementation, Tealium IQ, Problem Solving Ability, Analytics Beacon QA Job requirements - Gen AI QA JD - along with ETL QA JD include these points Strong QA/testing experience (manual and automation), preferably in AI/ML-based applications. - Understanding of machine learning concepts, LLMs, generative AI (e.g., GPT, Claude, DALLE, Stable Diffusion). - Experience with Python-based test frameworks (e.g., PyTest, Unittest). - Familiarity with RESTful APIs, Postman, and JSON.Ability to evaluate natural language output for tone, accuracy, and appropriateness. - Knowledge of prompt engineering basics and prompt evaluation techniques. - Exposure to tools such as LangChain, OpenAI API, HuggingFace, or Vertex AI is a plus. - Strong analytical and problem-solving skills. .