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# ML Infrastructure Engineer

- **Company:** Spore Bio
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Computing, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Management of Software Versions, Pytorch, Deep Learning, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Code Restructuring, Data Pipelines
- **Published:** June 14, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=10331137cc0c8ec8

## About the Role

Do you have experience in SQL?, * We believe in continuous learning and growth, so not all skills are mandatory.

 * Education/Background: Engineering or Master's degree in Computer Science, Data Science or related fields
 * 5+ years of experience implementing computer vision or deep learning pipelines
 * Expert in deep learning, PyTorch, distributed trainings and inference
 * Knowledge of cloud infrastructure, significant experience with at least one cloud provider AWS or GCP is a plus)
 * Experience with large scale computing environments Kubernetes, Slurm) and GPU scheduling.
 * Experience in refactoring and testing thoroughly Python code
 * Ability to manage communication across multidisciplinary teams (biology, optics, ML, etc.).
 * Core Data engineering know-how: SQL, data pipelines, labeling workflows, dataset versioning.
 * Get things done and high agency mindset

## Description

Our machine learning models sit at the heart of Spore.Bio's technology. To unlock their full potential, we need robust, scalable, and production-ready infrastructure.

As an ML Infrastructure Engineer, you'll be responsible for designing and operating the platforms, tooling, and workflows that power our AI development lifecycle. You'll help bridge the gap between research and production, enabling our teams to train faster, experiment more efficiently, and deploy reliable models at scale.

Working alongside world-class experts in microbiology, optics, AI, and software engineering, you'll tackle challenges that few companies get to solve, bringing breakthrough scientific innovation into industrial environments around the world.

Missions :

 * Develop and maintain deep learning infrastructure in the Machine Learning team
 * Architect relevant and coherent solutions for cloud R&D as well as on-edge deployments
 * Implement those solutions in a flexible, ever-changing environment
 * Be the owner of training, experiments and validation pipelines, and setup robust training infrastructure.
 * Participate in deployment of the machine learning models: ensure the deployed model works properly in production
 * Work closely with Microbiology, Optics and Software teams and implement processes to bolster ML collaboration


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