Lead AI Engineer (ML Ops)
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仕事内容
Lead the end-to-end productionalization of AI initiatives, architecting resilient MLOps and LLMOps pipelines for scalable deployments.
Design and implement scalable AI infrastructure and deployment strategies, integrating with enterprise data ecosystems.
Define and enforce best practices for model lifecycle management, including version control, automated testing, monitoring, and CI/CD.
Build production-ready AI systems and collaborate with data science teams to operationalize experimental models into reliable solutions.
Mentor engineering teams, drive technical design sessions, and stay current with emerging AI tooling and practices.
Ensure governance, security, and compliance while delivering measurable business impact and continuous improvement.
Design and implement scalable AI infrastructure and deployment strategies, integrating with enterprise data ecosystems.
Define and enforce best practices for model lifecycle management, including version control, automated testing, monitoring, and CI/CD.
Build production-ready AI systems and collaborate with data science teams to operationalize experimental models into reliable solutions.
Mentor engineering teams, drive technical design sessions, and stay current with emerging AI tooling and practices.
Ensure governance, security, and compliance while delivering measurable business impact and continuous improvement.
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