Role Description The StFX University Faculty of Education, in partnership with StFX Online Learning & Professional Studies, invites applications for a Part-time Academic Instructor for the following course: - Course Number and Title: Education 512: Play-Based Curriculum for Lifelong Learning - Course Description: This course provides graduate students with a deep understanding of the research and practice of incorporating play in early elementary grades in public schools. Planning, assessing and enacting a play-based curriculum are key course outcomes. - Start and End Dates: July 20 to July 30, 2026 - Class Schedule: Classes are four days a week, for two weeks: July 20-23 and July 27-30 - Times: 9:30 am to 2:30 pm (Atlantic time) - Delivery Mode: Online Qualifications - Candidates should have a PhD or MEd with significant experience in the course area. Requirements - The committee will begin consideration of applicants on May 10, 2026. Application Instructions - Applicants must attach a cover letter, curriculum vitae/resume and the names of three references. - Applicants who attach a curriculum vitae/resume and cover letter are not required to duplicate this information in the application fields.

• Lead the design, prototyping, and deployment of scalable machine learning infrastructure that can power Zillow AI Mode. • Serve as a critical technical liaison between the Agentic Data Platform and applied AI teams. • Collaborate closely with scientists, engineers, and product partners to understand their dependencies and deliver the data foundations they need to innovate rapidly. • Drive alignment on timelines, architectures, and prioritization across different organizations, influencing technical direction without requiring direct authority. • Deploy and optimize capabilities in production environments, ensuring high availability, low latency, and efficient resource utilization capable of handling massive scale. • Mentor other engineers, guiding them in using the right technologies and establishing best practices. • Translate complex ML infrastructure designs and ambiguous customer problems into clear, actionable insights for diverse audiences, including leadership and non-technical stakeholders.

• Successful candidates will teach Computer Science courses in the online format • Specific course needs are as follows: AI and Machine Learning, Data Mining, Applied Artificial Intelligence, Machine Learning, Computer Vision and Sensors, Decision Networks and Graphs.

• Design, develop, and optimize machine learning and deep learning models using PyTorch • Build and deploy computer vision solutions for real-world use cases • Develop end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment • Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining • Deploy and scale ML models on AWS cloud infrastructure • Work with large-scale datasets using Databricks and distributed computing frameworks • Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions • Ensure high code quality by following software engineering best practices • Monitor model performance in production and continuously improve accuracy, efficiency, and reliability