Engineering Manager, Observability (TLM)
Anyscale(2 months ago)
About this role
The Engineering Manager, Observability at Anyscale leads the development of user-facing features for the Anyscale AI platform, focusing on observability tools that enhance the creation and monitoring of AI applications built on Ray. Responsibilities include understanding user requirements, designing and implementing features like dashboards and log viewers, and managing data ingestion and presentation. The role requires proficiency in backend or full stack development, experience with observability tools, and a good understanding of AI and machine learning concepts. Collaboration with a team of distributed systems and machine learning experts is essential, as is effective communication of technical work to broader audiences.
Required Skills
- User Interaction
- Requirement Gathering
- Feature Design
- Feature Implementation
- Feature Maintenance
- Observability Tools Development
- Distributed Systems Understanding
- Web API Frameworks
- Databases
- Python Programming
+8 more
About Anyscale
www.anyscale.comAnyscale is a cutting-edge platform designed for building and running AI applications with scalability and efficiency at its core. Powered by Ray, it enables AI developers to seamlessly manage all machine learning (ML) and artificial intelligence (AI) workloads, whether in the cloud or on-premises. Anyscale focuses on simplifying the complexities of deploying various workloads, from data processing to training and inference, ultimately facilitating faster development and operational reliability. The platform is particularly favored by organizations seeking to optimize their ML workflows while leveraging the expertise of the original creators of the Ray framework.
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