ML Engineer - Power
Core
Develop and adapt machine learning models for fundamental forecasts in the Japanese power market, integrating signals from other commodities.
Role type
Machine Learning Engineer (Power Market Forecasts)
Builds
Fundamental forecasts for the Japanese power market
Domain
Energy / Commodities / Power Markets
Deliverable
production ML models
Required skills
Python, Machine Learning lifecycle management, Time-series analysis, Statistics, Database design, Performance optimization, Git, Agile methodologies
Preferred skills
AWS, Terraform, Deep learning, Airflow, Docker, Kubernetes, MLFlow, NoSQL, Hexagonal architecture, Medallion architecture, Monitoring solutions
Technologies
Python, Postgresql, AWS, Terraform, Airflow, Docker, Kubernetes, MLFlow, Datadog, Grafana, Git
Responsibilities
Adapt existing models to the Japanese Power market, Develop new models managing the full lifecycle, Integrate market signals from other commodities, Build and improve monitoring and alerting tools, Discuss roadmap with product team
Seniority
Mid-level, hands-on IC