AI-First Computer Vision Engineer for Solar Projects

Terabase Energy; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote flexibility

Stock options

Home office allowance

Generous time off

Career progression

401k match

Résumé du poste

Terabase Energy in Paris is seeking a Senior ML/Computer Vision engineer to join Bamboo’s Computer Vision team. You will work at the intersection of deep learning, geospatial analysis, and real-world solar construction, building CV systems deployed on active job sites.

You will own the full ML lifecycle, from data curation to production deployment, and collaborate with teams in Paris and Belgrade to ship features using AI-first workflows.

Qualifications

• Master's degree in CS/ML or equivalent experience.
• Hands-on AI/ML model development and deployment.
• Strong Python and CV fundamentals.

Responsabilités

• Write production‑grade Python code for the full ML stack — data pipelines, model training, inference services, and evaluation frameworks.
• Develop and ship production ML/CV features using AI‑first workflows.
• Track and apply advances in computer vision and deep learning to real‑world construction challenges.
• Design and run rigorous testing/validation protocols for ML‑based products in real‑world sites.
• Collaborate with cross‑functional teams to ship integrated features.
• Own the end‑to‑end ML lifecycle from design to deployment.
• Bridge users with field feedback and improve model performance.
• Foster cross‑office cohesion between Paris and global teams.

Connaissances

Python

Computer Vision

Deep Learning

PyTorch

TensorFlow

MLOps

Data Annotation

English Proficiency

Remote Collaboration

AI-first Engineering

Formation

Master's degree in Computer Science or Machine Learning

Outils

MLflow

DVC

Docker

CI/CD

Description du poste

Terabase Energy in Paris is seeking a Senior ML/Computer Vision engineer to join Bamboo’s Computer Vision team. You will work at the intersection of deep learning, geospatial analysis, and real-world solar construction, building CV systems deployed on active job sites.

You will own the full ML lifecycle, from data curation to production deployment, and collaborate with teams in Paris and Belgrade to ship features using AI-first workflows.