Kpler
commodities, energy, and maritime sectors
PowerMLEngineer
“Power ML Engineer at Kpler. Skills: Python, Machine Learning, ML Engineering, Data Science. Adapt existing models. Integrate market signals”
What You'll Achieve.
Empower organisations to make informed decisions; Stay ahead in a dynamic market landscape; Deliver top-tier intelligence; Build fundamental forecasts; Enhance the quality of our forecasts; Impactful results
Industry & Context.
Simplify global trade information; Provide valuable insights; Transform intricate data
What They're Looking For.
Must Have
Understanding of electricity grid fundamentals, Python, Postgresql or similar data stores, building and consuming RESTful APIs, Machine Learning research, Data Science research, ML Engineering, Git, code reviews, Agile methodologies, time-series, events data, normalization, database design, performance optimization, caching strategies, written and spoken English
Nice to Have
Previous experience in electricity markets, AWS, Terraform, Airflow on a production environment, containerization (Docker), Kubernetes, ML registry framework, hexagonal architecture, medallion architecture, monitoring solutions, NoSQL database, Japanese speaker, Deep learning, FastAPI
What You'll Do.
Adapt existing models
Integrate market signals
Enhance forecast quality
Build monitoring tools
Improve alerting tools
Ensure API performance
Build sustainable plans
How You'll Work.
Team & Collaboration
Work asynchronously with team members; Discuss roadmap in collaboration with product team
Communication Scope
written and spoken English; Great communication
Process & Methodology
Agile methodologies
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