About the job
At Turnitin, we recognize that AI and data science are fundamental to our achievements and ambitious product strategy. As a Senior AI Data Engineer, you will join a dynamic global team of proactive and independent professionals dedicated to crafting sophisticated, well-structured AI and data systems. You will be at the forefront of developing our next-generation data and AI pipelines, significantly scaling our team's impact. You'll collaborate across various teams within Turnitin to integrate AI and data science into a diverse range of products aimed at enhancing learning, teaching, and academic integrity.
Key Responsibilities:
- AI Data Infrastructure & Pipeline Management: Design, build, and operate scalable real-time data pipelines that facilitate ongoing Applied AI model training. Implement and maintain robust data infrastructure utilizing AI techniques and engineering best practices to ensure continuous model improvement.
- Data Collection: Lead efforts to collect, normalize, and store data from various sources, including external LLM providers.
- Collaboration: Work closely with AI R&D, Applied AI, and Data Platform teams to ensure smooth data flow and adherence to quality standards. Collaborate with stakeholders to curate and catalog high-quality datasets that support Applied AI retraining workflows and business goals.
- Support for AI R&D: Contribute to AI Research & Development initiatives by leveraging advanced data warehousing and engineering technologies. Engage in exploratory data projects to extract insights from Turnitin's extensive datasets.
- Communication: Foster clear communication across teams, aligning with the company vision while sharing insights on data infrastructure requirements and potential innovations.
- Technology Evolution: Stay updated with emerging tools and methodologies in AI data engineering, providing recommendations to enhance our AI data infrastructure and capabilities.
