Job Title: AI System Lead
About the Position:
We are seeking a seasoned Machine Learning Engineering Manager to oversee cross-functional teams in designing, training, and deploying large-scale artificial intelligence and language model systems.
The ideal candidate will drive the entire 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 infrastructure leaders.
This role combines deep technical expertise with strong leadership and execution skills, ensuring all AI initiatives yield measurable business results.
* Lead and mentor ML engineers, data scientists, and MLOps professionals.
* Oversee end-to-end AI 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, blockers, and results clearly to leadership and stakeholders.