Description

Lead quality engineering efforts with a focus on automation and Generative AI technologies.

This role is on-site.

Responsibilities

• Drive automation testing strategies using Selenium, JMeter, JUnit, TestNG, and Gherkin.
• Develop and maintain testing frameworks using Python or Java.
• Validate NLP concepts and techniques within AI-driven applications.
• Manage data integrity across PostgreSQL and Vector databases like Redis.
• Implement testing workflows within Jenkins CI/CD pipelines and Git version control.

Required Skills

• 10+ years of experience in Quality Engineering and automation.
• Proficiency in Python or Java.
• Hands-on experience with Selenium, JMeter, JUnit, TestNG, and Gherkin.
• Practical understanding of NLP concepts and techniques.
• Experience with PostgreSQL and Vector databases (Redis).
• Knowledge of Graph ML, Deep Graph Learning, and NER.
• Experience handling large datasets.
• Working knowledge of Git and Jenkins CI/CD pipelines.

Preferred Skills

• Prior experience in the Financial Services Industry.
• Working knowledge of cloud-based application architecture.
• Familiarity with frameworks and libraries relevant to Generative AI and Graph ML.

Key Skills

Education

Bachelor's degree