Back
Mid-level seniority, metro Bengaluru location, and broad SDET/ML skillset increase applicant competition.
Core SDET skills transferable, but ML/LLM evaluation expertise increases domain specificity.
Explicit 5–8 years and mandatory SDET plus ML/LLM testing skills required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end quality and validation for ML models, AI agents, and AI-powered features within Automotive Retail Cloud (ARC).
Design and implement automated testing and evaluation frameworks for non-deterministic ML/AI systems, including model inference, prompt pipelines, agent workflows, and API integrations.
Use AI/LLMs to generate test cases, synthetic data, automate regression detection, and perform root cause analysis for production model issues.
5–8 years experience in SDET, quality engineering, or software engineering with test automation framework development.
Strong programming skills in Python (preferred) and/or Java for production-quality automation code.
Hands-on experience testing ML/AI or data-intensive systems, with solid understanding of ML concepts including evaluation metrics and non-deterministic outputs.
Experience designing evaluation frameworks or working with ML/LLM eval datasets and benchmarks.
Experienced in quality engineering of complex ML/AI systems with deep understanding of model lifecycle and evaluation strategies.
Comfortable working cross-functionally with ML Engineers, Data Scientists, and Product teams to integrate quality assurance in ML production environments.
Familiar with LLM/agent technologies (prompting, RAG, embeddings), ML tooling, CI/CD pipelines, and root cause analysis across model, data, and code layers.