Enterprise context layer for reliable AI agents in production

Staff Applied Machine Learning Engineer

zaimler is building context infrastructure for enterprise AI agents through semantic understanding, knowledge graphs, and real-time inference. The Staff Applied Machine Learning Engineer will bridge research and applied engineering by building scalable training, evaluation, feature store, and agentic workflow systems while setting the strategic direction for model development and deployment.

ML Infrastructure Engineer

zaimler is building context infrastructure for enterprise AI agents. The ML Infrastructure Engineer will own inference and model-serving infrastructure, scaling Ray Serve and GPU systems while optimizing model servers and agent orchestration for reliable, high-concurrency production workloads.

Machine Learning Engineer, ML Platform

zaimler is a company focused on building context infrastructure for enterprise AI. The role involves developing scalable algorithms for machine learning and data engineering to enhance system efficiency and improve performance through innovative methods.

Cloud Infrastructure Engineer

zaimler is building the context infrastructure for the agentic era, focusing on creating a platform that enables AI agents to operate with precision. As a Cloud Infrastructure Engineer, you will design and implement the foundational cloud infrastructure that supports zaimler's semantic platform.