Machine Learning Engineer II
职位介绍
Lead the design, build, and optimization of data pipelines and ML workflows for training, validation, deployment, and monitoring.
Collaborate with Data Scientists to productionize models at scale, ensuring reliability and reproducibility.
Advance ML automation and orchestration using tools like Databricks and MLflow.
Contribute to ML platform architecture, feature pipelines, and experimentation processes.
Write clean, high-performance Python code for distributed environments (e.g., PySpark) and ensure observability and CI/CD integration.
Own engineering components with minimal guidance and work cross-functionally with Data Science, Software Engineering, and Product teams.
Collaborate with Data Scientists to productionize models at scale, ensuring reliability and reproducibility.
Advance ML automation and orchestration using tools like Databricks and MLflow.
Contribute to ML platform architecture, feature pipelines, and experimentation processes.
Write clean, high-performance Python code for distributed environments (e.g., PySpark) and ensure observability and CI/CD integration.
Own engineering components with minimal guidance and work cross-functionally with Data Science, Software Engineering, and Product teams.
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。
已有账户？ 登录
相似职位
其他可能适合您的职位。