cover image
OUTSCALE

OUTSCALE

www.outscale.com

2 Jobs

296 Employees

About the Company

OUTSCALE, Dassault Systèmes, is the leading sovereign and sustainable operator of experiences as a service.

We modernize the way organizations operate through our virtual twin approach, thereby empowering public organizations and companies to fully harness the power of their data, through three types of experiences: Cloud Experience, Business Process, and Business Experience.

At OUTSCALE, we put sovereignty at the heart of our solutions, enabling our clients to have full control over their strategic information while taking advantage from the best in cyber governance.

As a responsible company, we optimize the energy efficiency of our infrastructure and encourage our clients to adopt sustainable practices.

Listed Jobs

Company background Company brand
Company Name
OUTSCALE
Job Title
STAGE - Développeur service Kubernetes (F/H)
Job Description
Job Title: Internship – Kubernetes Service Developer (F/M) Role Summary: Design, prototype, and deploy an independent Kubernetes Ingress Controller service (SD-HELM) that can be upgraded, maintained, and monitored autonomously, replacing the current tightly coupled implementation within the Container Farm. Expectations: Deliver a production‑ready, rolling‑upgradable Ingress Component by end of 6‑month term; define migration strategy from bundled to standalone deployment, and enable remote maintenance commands. Key Responsibilities: • Architect and implement the SD‑HELM Helm chart for the Ingress Controller, ensuring zero‑downtime upgrades. • Integrate TLS, certificate handling, and HTTP routing (Nginx/Haproxy, reverse proxy). • Configure observability: metrics, logs, and alerting. • Coordinate with Service Security Controls, Container Farm, and SD‑HELM contributor teams. • Draft transition plan for replacing Container Farm‑preinstalled Ingress with independent deployment. • Assist in scripting Bash/Python for automation and maintenance. Required Skills: • Kubernetes fundamentals, Helm packaging/deployment. • Container technologies (Docker/OCI) and registry (DockerHub). • Linux system administration, Bash scripting, basic Python. • Cloud exposure (AWS, CDN) and Docker. • HTTP/TLS, reverse proxy (Nginx, Haproxy). • Observability concepts (metrics, monitoring, alerting). Required Education & Certifications: • Current student pursuing a BAC+5 level degree in engineering or university (computer science, cloud, distributed systems, or cybersecurity). • 6‑month conventional internship starting February 2026. Inglés fluido (written & spoken).
Vélizy-villacoublay, France
On site
09-01-2026
Company background Company brand
Company Name
OUTSCALE
Job Title
STAGE - Data Scientist F/H
Job Description
**Job Title:** Data Scientist Intern **Role Summary:** Conduct in-depth research on generative AI and develop advanced data science solutions within a team focused on deep learning, NLP, computer vision, and large language models (LLMs). Collaborate across internal and external teams to address complex business-use cases through end-to-end AI projects. **Expectations:** Master’s student in AI, Data Science, Machine Learning, NLP, or Computer Vision pursuing a professional internship. Demonstrated Python proficiency and DL/LLM framework experience (PyTorch, TensorFlow). Strong foundation in neural network architectures, data analysis, and cloud deployment. **Key Responsibilities:** - Analyze business problems and design AI-driven solutions. - Conduct benchmark studies for model comparisons. - Model, implement, and evaluate deep learning/LLM algorithms for unstructured data (text, visual). - Optimize models for scalability, efficiency, and performance. - Industrialize algorithms into API services and containerize/deploy using Docker/Kubernetes. **Required Skills:** - Python (PyTorch, Transformers/vLLM, torch.nn). - Knowledge of NLP, computer vision, and state-of-the-art LLMs. - Experience with RAG/GraphRAG, vector databases, and MLflow/W&B for model tracking. - Familiarity with REST APIs, Linux, Git, and CI/CD pipelines. - Bonus: Cloud deployment (AWS/GCP/Azure) and Kubernetes. **Required Education & Certifications:** - Master’s degree in AI, Data Science, Machine Learning, NLP, or Computer Vision (in progress). - French/English bilingual proficiency (written/spoken).
St.-cloud, France
On site
02-02-2026