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, DALL·E, 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 Robust QA/testing experience (manual and automation), preferably in AI/ML-based applications.
Understanding of machine learning concepts, LLMs, generative AI (e.g., GPT, Claude, DALL·E, 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.

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