Quality Analyst-AI/ML Immediate joiner)

Required Skills (AI/ML-1 Level)
Technical Skills
Strong experience in Generative AI, LLMs, and Agentic AI systems
Hands-on expertise with AI evaluation frameworks (RAGAS, DeepEval, TruLens, LangSmith, Promptfoo, etc.)
Proficiency in Python and AI/ML development libraries
Knowledge of Prompt Engineering, prompt testing, and optimization
Ability to define and track evaluation metrics such as accuracy, relevance, groundedness, hallucination rate, latency, and user satisfaction
Experience in creating automated evaluation pipelines and benchmarking frameworks
Strong understanding of AI safety, guardrails, bias testing, and responsible AI practices
Familiarity with REST APIs, JSON, vector databases, and knowledge retrieval systems
Experience in A/B testing, human-in-the-loop evaluation, and red teaming
Strong experience in Manual Testing of AI/GenAI applications, including functional, exploratory, UAT, regression, and end-to-end testing
Expertise in validating Agent Reasoning, Tool Calling, Workflow Execution, and Response Quality
Hands-on experience in Automation Testing using Python frameworks
Key Responsibilities
Design, execute, and automate evaluation strategies for Agentic AI applications.
Develop evaluation datasets, test cases, and benchmark suites.
Measure and improve agent performance, reasoning quality, tool usage, and workflow effectiveness.
Analyze model outputs and identify hallucinations, biases, safety risks, and failure patterns.
Collaborate with AI Engineers, Product Teams, and Domain Experts to improve agent quality and reliability.
Generate evaluation reports, dashboards, and actionable recommendations.

Work arrangement
No