About this role
Role Overview
The Machine Learning Engineer - Power position at Kpler in Paris is a full-time engineering role focused on building and launching predictive models. This position suits professionals looking to bridge the gap between experimental data science and production software within the energy and commodities sector.
Key Responsibilities
Skills and Tools
About the Company
Founded in 2014, Kpler helps clients navigate complex markets by simplifying global trade information. The organization provides valuable insights that empower organizations to make informed decisions across the commodities, energy, and maritime sectors. Operating through user-friendly platforms, a team of more than 850 experts from 69 countries works to transform intricate data into actionable strategies.
How to Apply
Interested candidates should visit the official Kpler careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is the ML Engineer - Power position located?
The position is located in Paris, France, and is an on-site role within the Engineering Commodities department.
What is the primary focus of this role?
The primary focus is developing and deploying predictive models that power global commodity, energy, and maritime intelligence platforms.
Who will the ML Engineer work with?
The engineer will collaborate closely with Data Scientists, Data Engineers, and Product teams.
What does Kpler do as a company?
Kpler simplifies global trade information and provides intelligence platforms for the commodities, energy, and maritime sectors.
How can I apply for this job?
Candidates can apply by visiting the official Kpler careers website.