Description

Technical Skills:
Experience: 10+ years of proven work experience in Quality Engineering, with a focus on automation and Generative AI.
Automation Tools: Proficient in Selenium, JMeter, JUnit, TestNG, Gherkin, and other relevant automation technologies.
Programming Languages: Strong programming skills in Python, Java, or similar languages.
NLP Knowledge: Understanding of NLP concepts and techniques.
CI/CD and Version Control: Familiarity with CI/CD pipelines (Jenkins) and version control systems (Git).
Database Expertise: Proficiency in PostgreSQL, Vector databases (Redis), and handling large datasets.
Graph Theory: Experience with Graph ML and related tools (Deep Graph Learning, NER).
Desirable Skills:
Prior experience in the Financial Services Industry.
Working knowledge of cloud-based application architecture.
Familiarity with additional frameworks and libraries relevant to Generative AI and Graph ML.

Key Skills
Education

Bachelor's degree

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