ML Engineer - Power at Kpler

Department: Engineering

Language

Setup: Hybrid
Location: Paris, Île-de-France
Type: Full-time
Level: mid
Posted: Sep 23, 2026

Description

Kpler is hiring a Machine Learning Engineer to develop and deploy predictive models for power-market forecasting and electricity-grid modeling. The role bridges machine learning research and production software, building ML pipelines, Python applications, PostgreSQL time-series and event-data systems, MLOps workflows, data-quality pipelines, and tested code. Candidates need approximately two to five years of data-focused software engineering experience, strong Python and data-engineering skills, electricity-grid knowledge, and experience with model training, evaluation, backtesting, tuning, and versioning.

Required Skills

Python
PostgreSQL
MLOps
Data engineering
Model versioning
Git
Apache Airflow
Apache Kafka

Additional Information

Required Previous Experiences: Approximately two to five years of data-focused software engineering experience
Significant experience with large production Python codebases
Data engineering experience with PostgreSQL, database design, normalization, and time-series and event data
Data science and machine learning research experience
Machine learning engineering experience with model and feature versioning
Experience with Git, code reviews, and Agile methodologies
Preferred Qualifications: Experience deploying ML workloads on AWS or GCP with Docker and Kubernetes
Familiarity with Apache Airflow, Kubeflow, or MLflow
Exposure to real-time streaming architectures such as Apache Kafka
Translation Company Name: Kpler