Power ML Engineer

Kpler

Power ML Engineer responsible for developing products for the Japanese power market. Working on new methodologies and integrating cross-commodity data to enhance forecast accuracy.

Posted 5/21/2026full-timeTokyo • 🇯🇵 JapanMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudDockerGrafanaKubernetesNoSQLPostgresPythonTerraform

About the role

Key responsibilities & impact

Responsible for the development of the Power offering.
Fully dedicated to a new product covering the Japanese power market.
Adapt and expand existing modelling infrastructure to build fundamental forecasts.
Learn and adapt existing models to the Japanese market.
Integrate market signals from other commodities (LNG, coal) to enhance forecast quality.
Enrich the product and participate in the development of new features.
Build and improve monitoring and alerting tools and dashboards.
Ensure good performance on API to distribute data to end users.
Discuss the roadmap in collaboration with the product team.

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
Have experience with AWS (or another cloud provider), using Terraform
Experience with orchestration tool Airflow on a production environment
Experience with containerization (Docker) and orchestration (Kubernetes)
Experience with a ML registry framework (e.g. MLFlow…)
Knowledge on hexagonal architecture and medallion architecture
Used monitoring solutions (Datadog, Grafana, etc...)
Experience with NoSQL database
Japanese speaker

Benefits

Comp & perks

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.

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Hard Skills & Tools

PythonFastAPIPostgreSQLRESTful APIsMachine LearningData ScienceML EngineeringGitAWSDocker

Soft Skills

strong command of written and spoken Englishcollaborationcommunication