Machine Learning Platform Engineer
职位介绍
Design, build, and operate scalable ML platform components including training infrastructure, feature stores, model registries, and inference services.
Develop cloud-native, distributed systems and CI/CD pipelines to enable reliable, reproducible model deployments.
Mature MLOps capabilities such as experiment tracking, data and model versioning, monitoring, and automated retraining.
Establish best practices for model lifecycle management and deployment across development, staging, and production environments.
Implement observability into ML systems to monitor performance, drift, data quality, and inference reliability; ensure security and cost-efficiency with governance partners.
Collaborate with data scientists, ML engineers, and security teams to deliver reusable, self-service platform capabilities and promote engineering excellence.
Develop cloud-native, distributed systems and CI/CD pipelines to enable reliable, reproducible model deployments.
Mature MLOps capabilities such as experiment tracking, data and model versioning, monitoring, and automated retraining.
Establish best practices for model lifecycle management and deployment across development, staging, and production environments.
Implement observability into ML systems to monitor performance, drift, data quality, and inference reliability; ensure security and cost-efficiency with governance partners.
Collaborate with data scientists, ML engineers, and security teams to deliver reusable, self-service platform capabilities and promote engineering excellence.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录相似职位
其他可能适合您的职位。