ML Engineer - Power Markets & Grid Forecasting

Kpler; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Kpler is seeking a Machine Learning Engineer in Paris to design, deploy, and scale predictive models powering our commodity and energy intelligence platforms. You will collaborate with data scientists, data engineers, and product teams to turn research into production-grade software that delivers real-time insights.

You will build and maintain ML pipelines, manage time-series data, and establish robust MLOps practices while ensuring code quality and agile delivery.

Qualifications

• Proficient in Python with production-grade code experience.
• Experience with large-scale ML workflows and data pipelines.
• Strong knowledge of databases and time-series data management.

Responsabilités

• Architect and deploy production ML pipelines and microservices.
• Bridge research prototypes to scalable Python applications.
• Design and optimize PostgreSQL schemas for time-series data.
• Implement MLOps practices including training, backtesting, and versioning.
• Build clean data ingestion and transformation pipelines.
• Write modular, testable code and participate in CI/CD and Agile processes.

Connaissances

Python

PostgreSQL

Data engineering

Machine Learning

Git

Agile

English

Outils

Docker

Kubernetes

Airflow

MLflow

Kafka

Kubeflow

PyTorch/TensorFlow

Description du poste

Kpler is seeking a Machine Learning Engineer in Paris to design, deploy, and scale predictive models powering our commodity and energy intelligence platforms. You will collaborate with data scientists, data engineers, and product teams to turn research into production-grade software that delivers real-time insights.

You will build and maintain ML pipelines, manage time-series data, and establish robust MLOps practices while ensuring code quality and agile delivery.