Senior Machine Learning Engineer
职位介绍
Lead research, development, and deployment of Graph Neural Network (GNN) models and GraphRAG pipelines for real-world applications.
Design and implement ML solutions across domains leveraging NLP, graph-based techniques, and embedding methods.
Build and optimize interactive content discovery systems using Vector Databases and embedding-based techniques.
Develop and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring.
Collaborate with data engineering and software teams to scale AI/ML in production on AWS services such as SageMaker, Databricks, Lambda, S3, and Kinesis.
Drive measurable business impact in content discovery, fraud prevention, payments, and CDN, while explaining complex ML concepts to stakeholders.
Design and implement ML solutions across domains leveraging NLP, graph-based techniques, and embedding methods.
Build and optimize interactive content discovery systems using Vector Databases and embedding-based techniques.
Develop and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring.
Collaborate with data engineering and software teams to scale AI/ML in production on AWS services such as SageMaker, Databricks, Lambda, S3, and Kinesis.
Drive measurable business impact in content discovery, fraud prevention, payments, and CDN, while explaining complex ML concepts to stakeholders.
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？
登录您可能也感兴趣的职位
暂无高度相似的职位 — 以下是最新职位。