Back
Senior, niche AI-cloud QA with metro locations and moderate brand yields medium competition.
Requires AI-specific testing, Azure cloud, and regulatory compliance, so cross-industry transferability is low.
Explicit 12+ years, AI/ML and Azure expertise, security and regulatory requirements indicate high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead QA efforts for Core AI Services within AVEVA Connect, focusing on functional, performance, and security testing of cloud-native services on Microsoft Azure.
Design and implement automated test suites for APIs, AI pipelines, and service components, including AI-specific evaluation tools for accuracy and safety.
Collaborate with developers and data scientists to establish quality metrics, ensure AI regulatory compliance, and mentor junior testers in a Scrum/Agile environment.
Minimum 12 years in software testing or QA for cloud-native applications; at least 2 years on AI/ML systems or services.
Hands-on experience with Azure DevOps, CI/CD pipelines, containerized test environments, API testing, performance profiling, and OWASP Top 10 security testing.
Familiarity with AI evaluation techniques including LLM evaluation, prompt engineering, hallucination detection, and AI regulatory standards (e.g., NIST AI RMF, EU AI Act).
Location: Hyderabad or Bangalore, India (Hybrid work model). Work Experience Required: 12+ years software testing, 2+ years AI/ML.
Technically skilled QA professional with deep expertise in cloud-native AI/ML service validation and automated testing frameworks.
Able to define and validate AI-specific performance and quality metrics, ensuring robustness, fairness, and compliance in AI services.
Experienced working in Agile Scrum teams, capable of mentoring junior testers and engaging with cross-functional global R&D teams.