MLOps Engineer — Real-Time Energy Forecasting & Control

Companion.energy; Gent; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Companion.energy in Ghent, Belgium, is hiring an MLOps Engineer to build the production infrastructure that gets forecasting and control models into production and keeps them working there—across hundreds of assets, on time series data, against live markets.

You’ll own model deployment, backtesting at scale, and the real-time monitoring of algorithms that drive second-by-second decisions worth millions. Join a mission to enable a flexible, renewable grid.

Qualifications

• Strong software engineering in Python and maintainable code.
• Experience taking ML models to production with deployment, monitoring, and rollback.
• Fluent with the MLOps toolchain: experiment tracking and model registry (MLflow or equivalent), orchestration (Dagster, Airflow, Prefect), containers and Kubernetes, CI/CD, IaC, metrics and alerting.
• Built drift, data quality, and model performance monitoring and tuned alerts for scale.
• Time series is a first-class problem: handle late/out-of-order data, irregular intervals, backfills, and proper train/test split.
• Proficient in SQL and keeping pipelines healthy.

Responsabilités

• From model to production: packaging, deployment, versioning, and rollback of forecasting and control models.
• Real-time monitoring of models that inform market decisions.
• Scale monitoring across hundreds of assets with varying data quality.
• Ensure time-series correctness and proper backtesting by avoiding future leakage.
• Build backtesting infrastructure that replays years of data across assets and markets.
• Prioritize low latency as we expand intraday trading and new markets.

Connaissances

Python

MLflow

Dagster/Airflow/Prefect

Kubernetes/Containers

CI/CD

Monitoring/Observability

SQL

Outils

MLflow

Dagster

Airflow

Prefect

Docker

Kubernetes

Prometheus

Grafana

Evidently

Great Expectations

Soda

Description du poste

Companion.energy in Ghent, Belgium, is hiring an MLOps Engineer to build the production infrastructure that gets forecasting and control models into production and keeps them working there—across hundreds of assets, on time series data, against live markets.

You’ll own model deployment, backtesting at scale, and the real-time monitoring of algorithms that drive second-by-second decisions worth millions. Join a mission to enable a flexible, renewable grid.