Lead AI Innovation
We're looking for a hands-on Machine Learning Engineering Manager to lead cross-functional teams in designing, training, and deploying large-scale ML and LLM systems.
This role blends deep technical expertise with strong leadership and execution capabilities, ensuring all AI initiatives translate into measurable business impact.
* Strategically lead and mentor ML engineers, data scientists, and MLOps professionals to deliver impactful AI solutions.
* Oversee the end-to-end ML/LLM project lifecycle: data pipeline management, model development, evaluation, deployment, and continuous monitoring.
* Provide technical direction for distributed training, large-scale model optimization, and system architecture design.
* Collaborate with Research, Product, and Infrastructure teams to define project objectives, milestones, and key performance indicators (KPIs).
* Implement best practices for experiment tracking, continuous integration and delivery (CI/CD), model governance, and observability.
* Ensure compliance with Responsible AI and data security standards across all AI initiatives.
* Communicate technical progress, blockers, and results clearly to leadership and stakeholders through regular updates.