Top AI & Machine Learning Jobs

Lead product strategy, operating model, and portfolio execution for Composite AI capabilities. Align roadmaps, define technical requirements, embed Responsible AI and governance, coordinate across Architecture, Data & Analytics, and LOBs, and drive adoption, metrics, and product management maturity across a federated model.

Lead and deliver end-to-end data science projects, manage and develop a team, collaborate with cross-functional stakeholders, ensure strong code quality and data governance, deploy solutions on Azure or similar cloud, and communicate results to technical and non-technical audiences in Japanese and English.

Lead AI Engineer responsible for converting business ideas into production AI-enabled products end-to-end: run discovery workshops, define MVPs, design cloud/agentic solutions, lead Python data pipelines and LLM orchestration, implement CI/CD and containerized deployments, ensure production handover, and coach/guide engineering teams while aligning stakeholders.

Lead Data, Analytics, and AI strategy and delivery to drive enterprise transformation. Oversee end-to-end ML/AI product lifecycle, ensure responsible deployment and regulatory compliance, build and coach high-performing teams, collaborate with cross-functional and executive stakeholders, and institutionalize best practices and reusable frameworks to accelerate production-grade AI solutions.

Build, prototype, and deploy AI-enabled applications: develop Python services, data pipelines, LLM orchestration, CI/CD and containerized deployments, and collaborate with stakeholders to translate business needs into production-ready AI features while ensuring testing, monitoring, documentation, and operational readiness.

Lead Data Science for Group Disability product initiatives, owning AI and advanced analytics roadmaps, claims auto-adjudication, fraud and duration models, and claims triage. Manage a global analytics team, drive claims automation and processing improvements, partner with stakeholders to deliver data-driven solutions, and embed governance, MLOps, and scalable analytics to meet business and regulatory objectives.