ML Engineer: Power Markets & Real‑Time Grid Forecasting

Lever, Inc.; Paris; Sur place; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Kpler is seeking a Machine Learning Engineer to develop and deploy predictive models powering our commodity, energy, and maritime intelligence platforms. You will collaborate with Data Scientists, Data Engineers, and Product teams to translate experiments into production-ready software.

Responsibilities include building ML pipelines, bridging research to production, and ensuring high data integrity with time-series databases. Strong Python, PostgreSQL, and CI/CD practices are essential.

Qualifications

• 2-5 years of experience as a data-focused software engineer.
• Strong Python production experience.
• Deep understanding of electricity-grid fundamentals.
• Experience with PostgreSQL and time-series data.
• Experience with ML research, backtesting, evaluation.
• Experience with Git, CI/CD, Agile.
• Proficient written and spoken English.

Responsabilités

• Architect and deploy ML pipelines for production-grade workflows.
• Bridge research and engineering to production Python apps.
• Design and optimize PostgreSQL schemas for time-series data.
• Establish automated model training, backtesting, evaluation, tuning.
• Construct clean ingestion and transformation pipelines.
• Write modular, well-tested Python, participate in CI/CD and Agile.

Connaissances

Python

Git

Cloud computing

Data engineering

ML research

MLOps

Agile

English

Outils

PostgreSQL

Docker

Kubernetes

Airflow

Kafka

Python tooling

Description du poste

Kpler is seeking a Machine Learning Engineer to develop and deploy predictive models powering our commodity, energy, and maritime intelligence platforms. You will collaborate with Data Scientists, Data Engineers, and Product teams to translate experiments into production-ready software.

Responsibilities include building ML pipelines, bridging research to production, and ensuring high data integrity with time-series databases. Strong Python, PostgreSQL, and CI/CD practices are essential.