Top AI & Machine Learning Jobs

Lead and execute end-to-end marketing data science projects: gather requirements, build and productionize ML models, implement MLOps, create reusable Python/Databricks pipelines, provide measurement and causal/A-B testing analyses, manage and grow a data science team, and partner with marketing leadership to drive growth.

Lead design, development, and deployment of large-scale production ML systems and platform strategy. Research and prototype ML and big-data technologies, integrate ML services across the org, mentor engineers and data scientists, and communicate complex ML solutions to technical and non-technical stakeholders.

Lead data science initiatives across core business domains: collaborate with stakeholders and engineers, analyze large datasets, design experiments, build and productionize statistical and ML models, harden pipelines, monitor performance, and mentor teams to drive data-informed decisions.

Lead and grow a data science team to deliver ML, statistical modeling, and measurement solutions. Partner with cross-functional leaders to prioritize high-impact projects, deploy models to production, automate analytics, and communicate insights to stakeholders while driving department culture and operational best practices.

Lead the product strategy and roadmap for a centralized AI context management and model-management platform. Design integration patterns, paved roads, evaluation/observability frameworks, and enablement for internal teams. Partner with engineering and data teams to ensure context retrieval, model selection, and production-ready agentic experiences while driving adoption and measuring platform outcomes.