Sr Machine Learning / AI Engineer / ML OPS Engineer

About the Role

The Peakon MLOps Engineer is responsible for operating, hardening, and continuously improving the production infrastructure that powers the Peakon Agent, multi-agent architectures, AI Features and related ML workloads. This ownership spans deployments, monitoring, and on-call workflows. Key operational functions include managing the entire deployment lifecycle for the Peakon Agent and other AI Features, ensuring the reliability of long-running agentic loops, memory stores, and tool-use environments, while contributing to driving operational excellence across the ML platform. Furthermore, the role involves building and maintaining tooling to surface agent trajectory and evaluation data, supporting performance testing, latency benchmarking, and load simulations specific to LLM-driven applications, and collaborating on the automation of essential security upgrades for ML dependencies.

About You

Basic Qualifications Summary<...