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Jade Global
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Test Lead with AI Skills

Test Lead with AI Skills

Jade Global

8 - 13 years

11 - 16 Lacs

Hyderabad Pune

Posted:8 hours ago| Platform:

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Skills Required

java selenium python cypress api testing kubernetes performance testing nuance manual testing jmeter azure devops sql docker postman jenkins mongodb ml jira ocr software testing natural language processing pytest nosql rest assured scrum agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

Test Lead with AI Skills1

Key Responsibilities
Test Strategy & Leadership:

Define end-to-end test plans for AI solutions (OCR, NLP, document automation) including functional, regression, UAT, and performance testing.

Lead a team of QA engineers in Agile/Scrum environments.

AI Product Testing:

Validate OCR accuracy (Google/Azure OCR),
AI model outputs (Layout Parsing, data extraction), and NLP logic across diverse document types (invoices, contracts).

Design tests for edge caseslow-quality scans, handwritten text, multi-language docs.

Automation & Tooling:

Develop/maintain automated test scripts (Selenium, Cypress, pytest) for UI, API, and data validation.

Integrate testing into CI/CD pipelines (Azure DevOps/Jenkins).

Quality Advocacy:

Collaborate with AI engineers and BAs to identify risks, document defects, and ensure resolution.

Report on test metrics (defect density, false positives, model drift).

Client-Focused Validation:

Lead on-site/client UAT sessions for Professional Services deployments.

Ensure solutions meet client SLAs (e.g., >95% extraction accuracy).

Required Skills & Experience

Experience:

8+ years in software testing, including
3+ years testing AI/ML products (OCR, NLP, computer vision).

Proven experience as a Test Lead managing teams (5+ members).

Technical Expertise:

Manual Testing: Deep understanding of AI testing nuances (training data bias, model drift, confidence scores).

Test Automation: Proficiency in
Python/Java,
Selenium/Cypress, and API testing (Postman/RestAssured).

AI Tools: Hands-on experience with
Azure AI, Google Vision OCR, or similar.

Databases: SQL/NoSQL (MongoDB) validation for data pipelines.

Process & Methodology:

Agile/Scrum, test planning, defect tracking (JIRA), and performance testing (JMeter/Locust).

Knowledge of MLOps/testing practices for AI models.

Preferred Qualifications

Experience with document-intensive domains (P2P, AP, insurance).

CertificationsISTQB Advanced,
AWS/Azure QA, or
AI testing certifications.

Familiarity with GenAI testing (LLM validation, hallucination checks).

Knowledge of containerization (Docker/Kubernetes).

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