Power ML Engineer

Kpler

Power ML Engineer developing forecasts for Japanese power market while leveraging global trade insights. Join a diverse team to adapt models and enrich product features.

Posted 5/21/2026full-time🇧🇪 BelgiumMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudDockerGrafanaKubernetesNoSQLPostgresPythonTerraform

About the role

Key responsibilities & impact

Learn and adapt existing models to the Japanese market
Integrate market signals from other commodities (LNG, coal) to enhance the quality of our forecasts
Enrich the product and participate in the development of new features
Build and improve monitoring and alerting tools and dashboards
Ensuring good performance on our API to distribute the data to end users
Discuss the roadmap in collaboration with the product team. Help the team build ambitious yet sustainable plans

Requirements

What you’ll need

Understanding of electricity grid fundamentals (Production, Transmission, Markets)
Circa 3-5 years' of experience as a data focused Software Engineer
Significant experience working with Python (FastAPI is a plus)
Have worked with with Postgresql or similar data stores,
Proficiency in building and consuming RESTful APIs
Machine Learning research (Training, Evaluation, Backtesting, Tuning, Model selection). Deep learning is a plus, but not required
Data Science research (Stats, Hypothesis testing…)
ML Engineering (model versionning, feature versionning)
Comfortable working with Git, code reviews, and Agile methodologies
Experience with time-series, events data, normalization, database design
Strong command of written and spoken English
Understanding of performance optimization and caching strategies
Previous experience in electricity markets (Desirable)
Have experience with AWS (or another cloud provider), using Terraform (Desirable)
Experience with orchestration tool Airflow on a production environment (Desirable)
Experience with containerization (Docker) and orchestration (Kubernetes) (Desirable)
Experience with a ML registry framework (e.g. MLFlow…) (Desirable)
Knowledge on hexagonal architecture and medallion architecture (Desirable)
Used monitoring solutions (Datadog, Grafana, etc...) (Desirable)
Experience with NoSQL database (Desirable)
Japanese speaker (Desirable)

Benefits

Comp & perks

We are accessible and supportive to colleagues and clients with a friendly approach.
Kpler is committed to providing a fair, inclusive and diverse work-environment.
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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Hard Skills & Tools

PythonFastAPIPostgreSQLRESTful APIsMachine LearningDeep LearningData ScienceML EngineeringGitAgile methodologies

Soft Skills

communicationcollaborationperformance optimizationproblem-solvingadaptability