Software Engineering in Test - AI/ML

Software Engineering in Test – AI/ML

BS or MS in Computer Science or related field or relevant industry experience.
Proficiency in Java, Python or similar programming languages
Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems
Advanced expertise with architecting and implementing REST api frameworks, tooling and test strategies for unit, functional and integration tests
Creative problem solving with attention to detail
Impeccable communication skills and ability to effectively collaborate with multiple collaborators across organizations and project timelines
Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML technologies
Advocacy for a positive customer experience

Design, implement and maintain automation tests, testing frameworks and tooling to support various backend services and machine learning pipelines.
Partner with multi-functional collaborators and peers to develop test strategies, plans, test cases and CI/CD-integrated automated test suites
Define and drive quality assurance standard methodologies including data-driven testing approaches for API endpoints
Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC
Mentor junior team members

Knowledge of Big Data systems, Apache Spark is a plus
Experience with testing AI and/or ML algorithms is a plus
Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows