About the Role
We're seeking a seasoned expert to lead cross-functional teams in designing, training, and deploying large-scale machine learning systems.
* Drive the full AI development lifecycle - from research and experimentation to distributed training and production deployment
* Mentor top-tier engineers and partner closely with product, research, and infrastructure leaders
This role combines deep expertise in machine learning/machine learning operations (MLOps) with strong leadership and execution skills, ensuring all AI initiatives drive measurable business impact.
Key Responsibilities
* Lead and mentor ML engineers, data scientists, and MLOps professionals
* Manage end-to-end project lifecycle: data pipelines, training, evaluation, deployment, and monitoring
* Provide technical direction for distributed training, large-scale model optimization, and system architecture
* Collaborate with Research, Product, and Infrastructure teams to define objectives, milestones, and KPIs
* Implement MLOps best practices: experiment tracking, CI/CD, model governance, observability