About the role

Role overview

Senior Staff MLOps Engineer (Full remote). You will build and scale the machine learning platform that powers AI-driven infrastructure for electricity markets worldwide, shaping the platform strategy and ensuring reliable deployments.

Responsibilities

Define the ML platform strategy, establish the roadmap, and make key architectural decisions.
Lead the design and build of foundational MLOps infrastructure for:
- Experiment tracking
- Model registry
- Production monitoring
Collaborate with ML and software engineers to understand platform needs and translate them into platform decisions.

Requirements

Senior/Staff-level ownership of MLOps platform design and implementation.
Strong architectural decision-making to drive deployment reliability.

Nice-to-haves

Experience delivering end-to-end MLOps capabilities (tracking, registry, monitoring) for production ML systems.

About Talos

The job is with Talos, a company focused on revolutionizing the energy market by making it transparent and fair. The role centers on building an AI-driven machine learning platform to support electricity markets worldwide.