AI Engineering Lead
We are seeking a hands-on AI engineering professional to lead cross-functional teams in designing, training, and deploying large-scale ML and LLM systems.
The ideal candidate 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 infrastructure leaders.
This role combines deep technical expertise with strong leadership and execution, ensuring all AI initiatives translate into measurable business impact.
Key Responsibilities:
* Lead and mentor AI engineers, data scientists, and MLOps professionals.
* Manage 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 best practices in AI development: experiment tracking, CI/CD, model governance, observability.
* Manage resources, cloud budgets, and enforce Responsible AI + data security standards.
* Communicate technical progress, blockers, and results clearly to leadership and stakeholders.