Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro, mid-level QA role with a common title and broad skillset attracts many applicants despite AI/ML niche.
Core automation skills are transferable, but AI/ML and cybersecurity focus increases domain-specific preference.
Explicit 2–4 year requirement plus mandatory automation, CI/CD, cloud, and AI/ML testing skills enforce moderate filtering.
Design, build, and maintain automated testing frameworks and tools including for AI/ML applications to validate and test APIs, models, and performance.
Review and improve testing strategies and test plans, collaborating closely with development teams and operating within CI/CD pipelines.
Implement evaluation pipelines for LLMs focusing on accuracy, latency, bias, toxicity, and reliability within a distributed microservices environment.
2 to 4 years of experience in software quality assurance or related roles.
Proven experience building and maintaining automation frameworks and CI/CD pipelines.
Experience with functional, load, and fuzz testing tools (e.g., Locust, CATS).
Experience deploying services on cloud platforms such as AWS, Azure, or GCP.
Experienced in automated test architecture and AI/ML model validation in a cybersecurity or large-scale distributed systems context.
Comfortable working with modern tech stacks including containerization (Docker, Kubernetes) and cloud-native services.
Skilled in evaluating and improving AI inference APIs and LLM-based applications for reliability and security.