Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models in production, ensuring stable, reliable, and scalable performance.
Product and stakeholder partnership: Partner with Product Owners, UX designers, business stakeholders, and engineers to translate business challenges into scalable AI-powered products and services.
Technical Discovery & Evaluation: Lead the technical discovery of the current APM environment (data sources, integrations, existing models, and constraints) and objectively evaluate AWS-based options against alternatives.
AI Incubation & 0-to-1 Architecture: Lead the charter, design, and prototyping of cutting-edge Agentic AI workflows, Human-in-the-Loop (HITL) platforms (e.g., Gemini-powered automated reporting), and autonomous decision engines from concept validation to scalable enterprise deployment
Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.