Key Leadership Role: AI Engineering Manager
We're seeking a seasoned Machine Learning Engineering Manager to lead cross-functional teams in designing, training, and deploying large-scale ML and LLM systems.
This leader will drive the full lifecycle of AI development from research and experimentation to distributed training and production deployment while mentoring top-tier engineers and partnering closely with product, research, and infra leaders.
This role requires deep expertise in ML/MLOps combined with strong leadership and execution skills to ensure all AI initiatives deliver measurable business impact.
* Lead and mentor ML engineers, data scientists, and MLOps professionals.
* Manage end-to-end ML/LLM 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.
* Manage compute resources and enforce Responsible AI + data security standards.
* Communicate technical progress and results clearly to leadership and stakeholders.