Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer, reporting into Risk Tech, responsible for designing, developing, and deploying AI-powered systems and ML infrastructure. Responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and maintaining ML components (model evaluation, LLM inference, governance, observability), retraining and monitoring models in production, constructing data pipelines for ML models, ensuring robust governance and security practices, and contributing to the long-term technical vision for AI systems. The role emphasizes leadership, collaboration across engineering, product, and data science, and strong communication to non-technical partners. Degree and years of experience in machine learning, distributed computing, and software development are required or preferred as listed; capabilities span from experimentation to production-grade deployment along with responsible AI practices. Preferred qualifications include advanced degrees and extensive experience with AI services, data pipelines, cloud deployment, and leadership experience. Senior-level, full-time, STEM-focused role with emphasis on scalable AI infrastructure and risk-aware design.