ETL Testing with AI Testing (GenAI) - R01553500
Bangalore, Karnataka, India
AI & Data Engineering – AI & Data Engineering : Data Science /
Employee /
Hybrid
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.
- Strong 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, 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.
- Strong analytical and problem-solving skills.
