SeniorDataScientist,AIPlatform

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: Our team builds AI-native capabilities, reusable AI systems, and shared infrastructure that power multiple products and workflows across the platform. We are looking for a Senior Data Scientist, AI Platform to own the machine learning lifecycle that turns models into reliable, production-grade product capabilities. You will design and operate the inference services, deployment and orchestration pipelines, and evaluation and monitoring frameworks that AI features depend on, and you will set the MLOps standards the rest of the team builds on. You will work alongside our infrastructure owner, who owns the underlying cloud, cluster, and CI substrate, while you own the ML systems that run on top of it. You will work closely with product, engineering, and research partners to turn advanced AI ideas into reliable product capabilities used at scale. Important note on scope: This is an MLOps and ML systems role, not a generic infrastructure or DevOps role, and not a BI/reporting or experimentation analytics role. We are looking for someone who has taken machine learning and LLM systems from prototype to production and operated them in live environments. Deep cloud, Kubernetes, and CI substrate expertise is valued but is owned by our infrastructure engineer; this role is accountable for the model lifecycle that runs on that substrate. WHAT YOU'LL DO - Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features - Productionize AI and ML workflows with strong MLOps practices: mode