Software Development Engineer in Test (SDET) - AI Models

Posted 14 days agoViewed

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💎 Seniority level: Senior, 5-7 years

📍 Location: North Macedonia, Bosnia and Herzegovina, Serbia, Albania, Croatia

🔍 Industry: Software Development

🏢 Company: IT Labs

⏳ Experience: 5-7 years

🪄 Skills: DockerPythonAgileArtificial IntelligenceData AnalysisJavaJenkinsJMeterKubernetesMachine LearningQA AutomationSCRUMAlgorithmsAPI testingData StructuresManual testingREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingDevOpsAttention to detailScalaData modeling

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.
Previous experience in testing AI models or services.
Experience in one or more of the following: Java, Python, R, Scala, Julia.
Experience with data generation techniques to support model validation.
The ability to identify flaws in the testing process, toolset, and infrastructure, and to propose and drive necessary improvements.
The ability to work independently to ensure quality testing throughout the software life cycle by identifying, documenting, and tracking issues.
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

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.

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