Kpler
commodities, energy, and maritime sectors
PowerMLEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“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
Full Job Description
## Description At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. As a Power ML Engineer you will be responsible for the development of the Power offering. You will be fully dedicated to a new product covering the Japanese power market. This product will adapt and expand as required, existing modelling infrastructure to the Japanese power market in order to build fundamental forecasts. ## Key Responsibilities 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 ## Experience & Background Essential: 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 r
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