Job Title: Machine Learning Engineering Leadership Position
We're seeking an accomplished Machine Learning Engineering Manager to spearhead cross-functional teams in designing, training, and deploying large-scale ML and LLM systems.
This role combines expertise in deep learning with exceptional leadership and technical skills, driving the full lifecycle of AI development from research and experimentation to production deployment.
You will lead and mentor top-tier engineers, drive end-to-end ML/LLM project lifecycles, provide technical direction for distributed training, and collaborate with Research, Product, and Infrastructure teams to define objectives, milestones, and KPIs.
* Key Responsibilities:
* Lead and mentor ML engineers, data scientists, and MLOps professionals.
* Manage end-to-end ML/LLM project lifecycles: 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, blockers, and results clearly to stakeholders.