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Develop, train, deploy, and monitor machine learning and AI models while building MLOps pipelines for governance and versioning. Collaborate with cross-functional teams to operationalize AI capabilities and integrate solutions into enterprise applications and workflows.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Develop and optimize data and model pipelines using CI/CD practices to ensure scalability and high performance.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Develop data and model pipelines while implementing CI/CD workflows to ensure scalability and performance.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Design and implement CI/CD pipelines and data workflows to ensure high performance and scalability of AI solutions.
Design and deliver production-ready agentic AI systems using the Glean platform and OpenAI GPT Enterprise. The role involves owning agents from design through production, focusing on reliability, security, and maintainability at enterprise scale.
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