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Tier-1 brand, mid-level QA role in Pune with generalist title and high visibility attracts many qualified applicants.
Strong Conversational AI, embedded and GPU-focused QA skills limit cross-industry transferability.
Role mandates explicit QA experience, Python, LLM/Conversational AI, CI/CD, Docker and embedded skills, so filters are strict.
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Own end-to-end quality for NVIDIA's voice AI pipelines integrating ASR, LLM, and TTS models.
Develop and maintain AI-powered test automation frameworks and CI/CD pipelines across cloud, workstation, and edge deployments.
Evaluate Conversational AI models for accuracy, latency, and efficiency; identify and fix bugs across full stack including containerized deployments and microservices.
Bachelor's or Master's degree in CS/CE/IT/ECE/EEE or equivalent.
Minimum 2 years of hands-on testing experience in software or embedded systems.
Strong programming skills in Python with experience building test frameworks and automation scripts from scratch.
Experience with Linux environments, shell scripting, LLMs and Conversational AI (ASR, TTS, NLP), CI/CD tools (GitHub Actions, Jenkins), Docker/container deployments, and QA processes such as code coverage and regression management.
Experienced working on multi-model conversational AI systems with hands-on testing and automation focus.
Skilled in building and sustaining CI/CD pipelines for GPU-accelerated and cloud/edge deployments.
Familiar with agentic AI workflows and container orchestration, with a focus on measurable QA impact in production-quality AI services.