Top AI & Machine Learning Jobs

Hands-on analytics lead responsible for data engineering, modeling, and deploying AI/ML solutions to detect and mitigate employee, fraud, regulatory, and reputational risks. Partner with risk stakeholders, take prototypes to production, build automated analytics pipelines, ensure compliance, and advise senior leadership on long-term, enterprise-scale detection strategies.

Consult on and implement marketing testing strategies and experimental design to optimize campaign performance. Forecast financial returns, evaluate marketing levers, develop learning agendas, support monthly forecasting, ensure compliance, and advise stakeholders and senior leadership on data-driven campaign decisions.

Hands-on senior analytics role to acquire, model, and prepare data, develop detection strategies, and take AI/ML solutions from prototype to production to mitigate employee, fraud, regulatory, and reputational risks while advising senior leadership.

Lead product strategy and execution for a portfolio of no-code/low-code AI and automation products. Partner with product and technology leaders to define priorities, create roadmaps, establish operating routines, remove execution roadblocks, measure business value, and drive adoption. Develop decision materials, reporting, and governance to improve alignment, resource planning, and continuous improvement across product, business, risk, and technology stakeholders.

Lead product strategy and execution for a portfolio of no-code/low-code AI and automation products. Partner with product, technology, and business stakeholders to define priorities, create roadmaps, establish operating routines, remove execution roadblocks, measure adoption and business value, and drive innovation and continuous improvement across the portfolio.

Lead design and delivery of large-scale software and AI engineering solutions. Drive architecture, code quality, observability, and platform reliability. Mentor engineers, set engineering standards, and influence enterprise AI strategy while collaborating across technical teams.

Design, code, test, deploy and maintain Generative AI/LLM applications and associated services. Participate in low-to-moderately complex projects, improve service quality and availability, perform debugging and documentation, evaluate model performance, implement retrieval and MLOps patterns, and collaborate with stakeholders while following security and compliance requirements.

Lead design and delivery of large-scale software and AI engineering initiatives. Architect, code, test, and review complex systems; drive engineering standards, observability, and reliability; mentor engineers; influence AI strategy and governance; collaborate cross-functionally to implement agentic AI, LLM, event-driven, and cloud-native solutions, with emphasis on regulated environments and mortgage domain optimizations.

Develop, test, deploy, and maintain Gen AI/LLM solutions. Participate in low-to-moderately complex projects, improve service quality, design and document code, support deployments, and collaborate with stakeholders while adhering to security, compliance, and responsible AI practices.

Build and deploy Generative AI/LLM applications: design, code, test, debug, and document low-to-moderately complex solutions. Improve service quality, implement MLOps and security practices, collaborate with stakeholders, and support deployment and evaluation of LLM models and retrieval systems.