VRINDA INTERNATIONAL
Website:
vrindainternational.in
Company:
https://www.linkedin.com/company/vrindainternational
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
HIRING ALERT | QUALITY ENGINEERING LEAD
Location: Bangalore | Pune | Hyderabad | Chennai
Experience: 6–10 Years
CTC: Up to ₹18 LPA
Role: Quality Engineering Lead
Domain: AI Data Assurance | Data Quality | GenAI | Analytics Testing
About the Role
We are looking for an experienced Quality Engineering Lead to lead AI Data Assurance initiatives and ensure trusted, high-quality, AI-ready data foundations.
The ideal candidate should have strong expertise in Data Testing, AI/ML Data Validation, Analytics Testing, AI/GenAI, LLMs, RAG, DataOps/MLOps and Quality Engineering.
Key Responsibilities
• Lead end-to-end
AI Data Assurance & Quality Engineering programs
• Define testing strategies, frameworks, quality gates and governance processes
• Lead validation of
data platforms, pipelines, BI, analytics and AI-ready datasets
• Implement assurance across
RAG systems, vector databases and AI workflows
• Evaluate AI output quality, reliability, explainability and business alignment
• Build automation frameworks and continuous quality monitoring
• Integrate quality controls with
DataOps, MLOps & CI/CD pipelines
• Lead and mentor Quality/AI Data Assurance teams
• Collaborate with Data Engineering, AI/ML, Architecture, Product and Business teams
• Support client demos, solutioning, proposals and AI assurance offerings
Requirements
Must-Have Skills
AI Data Assurance / AI Quality Engineering
AI/ML, GenAI, LLMs & RAG Architecture
Data Quality & Data Governance
ETL / Data Warehouse / BI Testing
SQL, Snowflake, Databricks
Informatica & Azure Data Factory (ADF)
Python & PySpark
Prompt Engineering & Retrieval Assurance
Vector Databases & AI Data Pipelines
DataOps / MLOps & CI/CD
API Testing & Playwright
Azure / AWS / GCP
Jira, Zephyr & Azure DevOps
Strong stakeholder management & team leadership
Click on Apply to know more.
