> Markdown version of [/jobs/ext/1943275-machine-learning-devops-cloud-and-compute-cluster-r-d-support-h-f](https://www.wearedevelopers.com/jobs/ext/1943275-machine-learning-devops-cloud-and-compute-cluster-r-d-support-h-f). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning DevOps - Cloud And Compute Cluster - R&D Support H/F

- **Company:** Llms
- **Location:** Paris, France (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Clusters, Computer Programming, Continuous Integration, Linux, DevOps, Github, Python (Programming Language), Linux Kernel, Linux System Administration, Machine Learning, Tensorflow, Prometheus, Azure Machine Learning, Shell Script, Data Logging, Data Processing, Graphics Processing Unit (GPU), Google Cloud, Data Ingestion, Pytorch, Large Language Models, Grafana, Cloudformation, Containerization, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Cloudwatch, Terraform, Software Version Control, Data Pipelines, Docker, Jenkins
- **Published:** August 6, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/82081292.html

## About the Role

Why You Should ApplyIntellectually stimulating work environment. Be a pioneer: you get to work with realtime data processing & AI.Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world.Responsibilities and ability to make significant contribution to the company' successInclusive workplace cultureFurther detailsType of contract: Permanent employment contract Preferable joining date: Immediate.Compensation: based on profile and location. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, United States, and Canada will be considered.What We Are Looking ForVery good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool.Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes).Solid grasp of CI/CD
tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.).Cloud infrastructure knowledge (AWS, GCP, Azure) - especially in ML services (e.g., SageMaker Hyperpod, Vertex AI).Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit).Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow).Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch).Experience with cluster, systems, and networks administration.Willingness to learn.This position holds a minimum requirement of a BSc in Computer Science or Information Technology.We will generally favor candidates who have undertaken ambitious efforts in the past. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won
a sports championship, make sure to mention this in your application!, postgraduate degree
EducationalOccupationalCredential
bachelor degree
EducationalOccupationalCredential
associate degree, * Very good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool.

 * Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes).
 * Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.).
 * Cloud infrastructure knowledge (AWS, GCP, Azure) - especially in ML services (e.g., SageMaker Hyperpod, Vertex AI).
 * Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).
 * Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit).
 * Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow).
 * Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch).
 * Experience with cluster, systems, and networks administration.
 * Willingness to learn.

This position holds a minimum requirement of a BSc in Computer Science or Information Technology.

## Description

We are currently searching for a Machine Learning DevOps with experience in cloud and compute cluster management, scaling infrastructures, and Linux administration.

Our development, ML training, and production environment is in the cloud, using several major cloud providers. We need support in managing and automating the processes, and scaling the infrastructure to growing team and production needs.

You Will

 - Optimize infrastructure for ML training and inference (e.g., GPUs, distributed compute).
 - Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).
 - Manage model versioning, reproducibility, and traceability.
 - Work with terabyte-large datasets.
 - Implement ML-centric CI/CD practices.
 - Monitor model performance and data drift in production.
 - Collaborate with machine learning engineers, software engineers, and platform teams.

The role focuses on operationalizing machine learning models, ensuring scalability, reliability, and automation across the ML lifecycle.


## Related Videos

- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)
- [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)