Opportunity Description
Lead Priceline's AI/ML Platform Engineering as a Director, optimizing infrastructure for model deployment and orchestration. Embrace hybrid work—two days in-office, focusing on innovation and technical strategy.
In this pivotal role, you will define the technical strategy for the AI/ML platform, guiding global engineering teams in developing scalable ML infrastructure. Your responsibilities include architecting MLOps pipelines and building advanced LLM infrastructures while driving model observability and governance practices.
Key Responsibilities:
• Define and execute technical strategy for the AI/ML platform
• Lead global teams in building scalable ML infrastructure
• Architect end-to-end MLOps pipelines for effective automation
• Build LLM infrastructure for efficient prompt management
• Collaborate with cross-functional teams to enhance development tools
Requirements:
• 10+ years in software or ML engineering
• Proven expertise in MLOps and ML infrastr...
In this pivotal role, you will define the technical strategy for the AI/ML platform, guiding global engineering teams in developing scalable ML infrastructure. Your responsibilities include architecting MLOps pipelines and building advanced LLM infrastructures while driving model observability and governance practices.
Key Responsibilities:
• Define and execute technical strategy for the AI/ML platform
• Lead global teams in building scalable ML infrastructure
• Architect end-to-end MLOps pipelines for effective automation
• Build LLM infrastructure for efficient prompt management
• Collaborate with cross-functional teams to enhance development tools
Requirements:
• 10+ years in software or ML engineering
• Proven expertise in MLOps and ML infrastr...
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