Top AI & Machine Learning Jobs

Lead the target architecture and hands-on delivery of an AI-driven commercial lending modernization platform. Design cloud-native systems using agentic AI, LLMs, microservices, APIs, event-driven architecture, and Kubernetes. Guide legacy code analysis and rewriting, make real-time technical decisions, lead design sessions, establish scalable engineering patterns, and communicate architecture tradeoffs to technical and executive stakeholders. The role also addresses security, resiliency, auditability, model risk, and regulatory controls.

Performs advanced analysis and data mining on large structured and unstructured datasets to generate business insights. Develops machine learning algorithms and statistical models to predict outcomes and recommend actions. Conducts analytical experiments for product and process optimization, presents findings through visualization and data storytelling, and collaborates with data architects, analysts, engineers, and visualization experts.

Leads data science projects using large structured and unstructured datasets to generate business insights. Directs data gathering, processing, mining, and advanced machine learning algorithm development. Conducts analytical experiments, recommends product and process improvements, and presents findings through visualization and data storytelling. Partners with architects, analysts, engineers, and visualization experts to deliver data-driven business solutions.

Leads enterprise AI solution validation and certification, making risk-based release decisions and overseeing post-deployment performance, risk, and safety monitoring. Partners with solution owners and data teams to enforce AI governance requirements, manage remediation, and provide authoritative guidance on validation standards. Directs advanced analytics, data mining, and machine learning initiatives while providing enterprise-wide program leadership and executive-level influence.

Develop valuation and forecasting models, including customer lifetime value, net present value, and offer economics, to guide marketing investments. Analyze customer, offer, channel, and marketing data; perform data preparation, exploratory analysis, modeling, validation, experimentation, and performance monitoring. Partner with marketing, finance, and data teams to communicate insights and support data-driven recommendations.