Join Priceline as the Director of AI/ML Platform Engineering, shaping the future of model development and orchestration in a hybrid work environment. Lead innovative projects optimizing infrastructure.
As a leader in this role, you'll be responsible for defining and executing the technical strategy of the AI/ML platform while leading multiple global teams. Your focus will be on building robust MLOps pipelines and LLM infrastructure, ensuring model explainability and compliance with industry standards.
Key Responsibilities:
• Define the strategic vision for AI/ML infrastructure
• Architect scalable MLOps pipelines for efficiency
• Lead efforts in developing advanced LLM systems
• Champion ML observability and governance practices
• Mentor engineering teams to foster talent and innovation
Requirements:
• Minimum 10 years in software or ML engineering
• Expertise in MLOps tools like MLflow and Kubeflow
• Familiarity with cloud platforms, especially GCP
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