Software Development Engineer in Test (SDET) - AI Models Testing

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Requirements:

• A degree in Mathematics, Statistics, Operations Research, Finance, Computer Science, or a related field, or 5-7 years of equivalent experience with statistical and analytical tools and software.
• Experience in one or more of the following: Java, Python, R, Scala, Julia.
• Experience with data generation techniques to support model validation.
• Knowledge of machine learning and artificial intelligence techniques.
• Hands-on experience with one or more automated testing tools, such as JMeter, Rest Assured, etc.
• Familiarity with GitHub Actions, DevOps, Gradle, Jenkins, Docker, K8s, and Helm chart
• Experienced in building backend test automation scripts and frameworks and working in a continuous delivery/continuous testing environment.
• Experienced in working within an Agile/Scrum development process.

Responsibilities:

• Reviewing requirement specifications and user stories to provide timely and meaningful feedback.
• Evaluating model and statistical assumptions, methodologies, and outputs and performing other backend / software testing needs (e.g., REST API testing).
• Leading test design sessions that will enhance overall product quality.
• Designing, developing, and executing automation scripts that run within automation frameworks / pipelines using tools such as Java, Python, R, Julia, Rest Assured, JMeter, etc.
• Identifying, documenting, and tracking issues to ensure timely resolution.
• Collaborating with fellow Engineers, spanning AI / Software / Test, and Product Managers across the organization to understand the context and drive advancement of AI test automation and related topics to promote and improve product quality.
• Assisting and supporting peers and Scrum team members to expand their capabilities and improve testing knowledge.
• Integrating automation scripts into continuous integration processes using tools like Jenkins and GitHub Actions, and advocating for continuous testing practices.