Description:

Join a team focused on rebuilding energy transactions to be transparent and fair.
Work on the ML platform to improve infrastructure, tooling, and standards for model development and deployment.

Requirements:

Strong ML engineering foundations with experience in developing, deploying, and improving ML models in production.
Experience with MLOps stack, ensuring reliability and observability.
Familiarity with scaling large-data ML workloads and designing data systems.
Experience with time-series forecasting.
Ability to build a high-quality ML platform in a high-ownership environment.

Benefits