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ETL Testing with AI Testing (GenAI)

5 - 9 years

0 Lacs

karnataka

Posted:1 week ago| Platform: Shine logo

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Skills Required

restful apis json analytical skills strong qatesting experience aimlbased applications machine learning concepts pythonbased test frameworks postman natural language output evaluation prompt engineering basics prompt evaluation techniques langchain openai api huggingface vertex ai problemsolving skills

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior AI/ML Engineer, you will be responsible for conducting ETL Testing with a focus on AI Testing, particularly in the GenAI domain. Your role will involve leveraging your strong QA/testing experience, both in manual and automation testing, with a preference for applications based on AI/ML technologies. To excel in this position, you should have a solid understanding of machine learning concepts, including LLMs, generative AI models such as GPT, Claude, DALLE, and Stable Diffusion. Proficiency in using Python-based test frameworks like PyTest and Unittest is essential. Additionally, familiarity with RESTful APIs, Postman, and JSON is required to assess natural language output for tone, accuracy, and appropriateness. Your responsibilities will also include evaluating prompt engineering basics and prompt evaluation techniques. Exposure to tools such as LangChain, OpenAI API, HuggingFace, or Vertex AI will be advantageous. Strong analytical and problem-solving skills are crucial for this role, along with proficiency in 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, and Analytics Beacon QA. In summary, as a Senior AI/ML Engineer specializing in ETL Testing with a focus on AI Testing (GenAI), you will play a key role in ensuring the quality and reliability of AI/ML-based applications through comprehensive QA/testing practices and analytical problem-solving skills. Your expertise in machine learning concepts, Python-based test frameworks, RESTful APIs, and other relevant technologies will be instrumental in delivering high-quality solutions in the AI domain.,

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