About the role
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. \n 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 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 Desirable: 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 Skills & Competencies Behavioural Competencies: Great communication, ability to work asynchronously with team members in other countries Curious to learn about the domain