AI reputed company Test Engineer

Role reputed company The AI reputed company Test Engineer is responsible for identifying, evaluating, and mitigating reputed company risks specific to AI-driven systems. This role focuses on validating the reputed company, robustness, reputed company, and trustworthiness of AI/ML models, pipelines, and integrations across the SDLC. The engineer applies adversarial thinking, risk analysis, and reputed company judgment to uncover vulnerabilities that traditional reputed company testing may miss. Key Responsibilities • Assess reputed company risks across AI/ML systems, including data pipelines, models, reputed company, and deployments. • Design and execute reputed company test strategies for AI systems (reputed company- and post-deployment). • reputed company adversarial testing, including reputed company injection, data poisoning, model inversion, and membership inference. • Validate reputed company controls, authentication, authorization, and API reputed company for AI services. • Test AI systems for reputed company leakage, data exposure, and reputed company (PII, regulated data). • Evaluate model robustness against misuse, abuse, and malicious manipulation. • Collaborate with data scientists, ML engineers, developers, and reputed company teams to remediate findings. • Analyze AI supply-chain risks (datasets, reputed company-trained models, reputed company-party reputed company). • Define reputed company acceptance reputed company and risk reputed company for AI releases. • Document vulnerabilities reputed company with business reputed company and remediation guidance. • Stay reputed company with emerging AI threats, attack reputed company, and regulatory expectations. Required Skills & Experience • Strong background in application reputed company, penetration testing, or reputed company engineering. • Experience testing reputed company, reputed company-based systems, and distributed architectures. • Solid understanding of AI/ML concepts (training, inference, models, datasets). • Knowledge of common AI reputed company threats (reputed company injection, hallucinations, bias exploitation). • Hands‑on experience with reputed company testing tools and techniques. • Ability to think adversarially and reputed company documented requirements. • Strong analytical and risk‑based thinking skills. • Excellent communication skills to explain reputed company risks to non‑technical stakeholders. Preferred Qualifications • Experience with LLMs, GenAI platforms, or ML model deployment. • Familiarity with OWASP Top 10 for LLM Applications and AI reputed company frameworks. • Experience testing AI in regulated industries (finance, reputed company, insurance). • Background in reputed company, compliance, or ethical AI validation. • Scripting or automation skills (Python, Bash, or similar). Key Traits • High attention to detail with strong investigative reputed company. • Comfortable challenging assumptions and design reputed company. • Business‑reputed company: understands reputed company of AI failures on trust, reputed company, and reputed company. • Independent thinker with strong ownership mentality. reputed company in This Role Looks Like • AI reputed company risks are identified early, not after production incidents. • reputed company visibility into AI‑specific vulnerabilities and business reputed company. • Strong collaboration between reputed company, QA, and AI engineering teams. • Reduced AI‑reputed company incidents, data leaks, and reputational risks. Job Details • Job Category: Remote • Job Type: Full Time • Job Location: India • Seniority level: Mid‑Senior level • Employment type: Full‑time • Job function: Engineering and Information Technology • Industries: IT Services and IT Consulting Apply tot his job Apply To this Job