AI QA Lead
Dedicated Project

Job Description

Role: AI Test & Automation Engineer

An AI Quality Automation Lead with a work experience of 7+ years. He/she would be responsible for contributing to quality of product released by creating, maintaining, and executing test plans and test cases, and automating the end-to-end quality of our AI products. The candidate
would be considered a good fit if s/he possesses following qualities:
Technical Skills
● Hands-on experience in leading quality initiatives in AI products; prior experience in end-to-end quality process from data source to AI predictions
● Hands-on experience in load testing/performance testing using JMeter
● Hands-on experience with build automation tools like Jenkins, Maven, GitHub, etc.
● Strong programming skills required (preferably Java) - Solid grasp of AI, object-oriented programming, databases, development, and testing methodologies
● Must have solid experience with Big Data, Hadoop
● Solid knowledge of industry standard automation test tools like Selenium, Protractor, etc.,
● Experience in working with DevOps implementation and good knowledge of CI tool Jenkins is a nice-to-have
● Help tackle cross-platform engineering challenges and contribute creative ideas to improve quality.
● Define Quality Metrics and implement measurements to determine test effectiveness, testing efficiency, and measure the overall quality of the Product.
● Prior experience in mentoring a group of test engineers and pushing them to do better

● Strong verbal and written communication skills are essential as s/he collaborates with product managers, program managers, engineering managers and tech leads in building a quality-driven engineering culture that helps ship products rapidly and with good confidence.
● Prior experience in working on any cloud platforms like AWS, Azure is nice-to-have
● Experience with python scripting would be a plus.


Experience (Min) : 7.0 Years
Experience (Max) : 12.0 Years
Location: Remote


AI QA Testing Automation JMeter Jenkins Maven GitHub Java Big Data Hadoop Selenium Protractor DevOps CI tools AWS Azure Python Scripting Database OOP Testing Methodologies

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