Top AI & Machine Learning Jobs

Design, build, and maintain end-to-end ML infrastructure, CI/CD pipelines, model registry and monitoring. Productionize models with data science partners, optimize training and inference workflows, and ensure governance, security, scalability, and cost-effectiveness using cloud and container platforms.

The Principal AI Engineer will lead the development of AI systems, manage agentic delivery tools, define KPIs, and mentor engineers while ensuring effective integration and adoption across teams.

Lead and grow an engineering team focused on video intelligence analytics, observability, dashboards, anomaly detection, forecasting, and AI-driven insights. Own design, implementation, delivery, and operationalization of analytics systems; collaborate with product, PM, and cross-functional stakeholders; enforce engineering best practices; communicate status to senior leadership; hire and mentor engineers while benchmarking new technologies.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

Lead development of production AI-assisted engineering systems: build services, APIs, integrations, and tooling; direct and review AI coding agents and AI-generated code; establish repeatable practices, observability, testing, and secure delivery for enterprise platforms.

Design, deliver, and operationalize LLM- and generative AI-driven platform services. Build scalable model-serving, orchestration, MLOps, observability, data lineage, and evaluation frameworks to productionize multi-step automated workflows.