Valeuriad

www.valeuriad.fr

6 Jobs

131 Employees

About the Company

Valeuriad - valeurs, innovation & digital Notre vocation est claire Plus qu’une compétence technique ou métier, nous souhaitons apporter à nos clients un réel savoir-faire et savoir-être. Nous sommes sincèrement convaincus que l’alliance du bien-être et de l’expertise de nos coéquipiers est la clé de leur succès. Notre métier est celui de passionnés Nous proposons à nos clients des solutions innovantes autour de trois grands domaines de compétences : Conseil, DevOps et Data/IA. Nous réunissons des expertises technologiques et de conseil en développement full stack, IA, industrialisation, architecture, approche agile mais aussi en formation IT. Notre modèle d’entreprise est différent Notre organisation se base sur le management participatif. Pyramide inversée, gouvernance collective, valeurs humaines, esprit d’initiative, droit à l’essai et bienveillance sont au cœur de notre culture d’entreprise. Nous mettons la RSE et la QVCT au cœur de nos actions Depuis la création de l'entreprise en 2015, nous mettons la RSE et la qualité de vie au travail au centre de nos actions et de nos décisions. Autour de valeurs sociales, sociétales et environnementales fortes, nous sommes fiers de contribuer au développement de l’écosystème nantais, de favoriser l’emploi local, de développer les achats responsables et de travailler, au quotidien, au bien-être de nos coéquipiers. Envie d’en savoir plus sur notre entreprise ou nos services ? Contactez-nous !

Listed Jobs

Company Name: Valeuriad
Job Title: Ingénieur Infra
Job Description: Job Title: Infra Engineer Role Summary: Architect, deploy, and maintain on‑premise and cloud infrastructure ensuring high performance, security, and resilience while supporting team productivity. Expectations: Minimum 5 years of infrastructure or DevOps experience; strong collaboration with development teams; proactive in technology evaluation and innovation. Key Responsibilities: • Design and implement robust infrastructure architectures on virtualized and cloud platforms. • Manage and optimize existing infrastructure for scalability and efficiency. • Automate deployments and configuration management. • Secure systems and networks, apply patching and compliance controls. • Participate in continuous integration/continuous deployment (CI/CD) pipelines. • Monitor platform health with observability tools. • Conduct technology research and propose improvement initiatives. Required Skills: • Operating Systems: Linux distributions (Debian, Ubuntu, RHEL, etc.). • Containerization: Docker, Kubernetes, OpenShift, Rancher. • Virtualization: VMware vSphere, Proxmox, KVM, XCP‑NG. • Cloud: AWS, GCP, Azure, Scaleway, Outscale. • IaC & Configuration: Terraform, Ansible, Pulumi. • CI/CD: Concourse, GitLab CI, GitHub Actions, Jenkins. • Observability: Grafana, Kibana, Prometheus, Datadog. • Strong scripting (Bash, Python, or similar). • Performance tuning, logging, monitoring, and incident response. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent. • Relevant certifications such as AWS Certified Solutions Architect, Azure Administrator, Kubernetes Administrator, or similar are highly desirable.

Company Name: Valeuriad
Job Title: Expert.e Fonctionnel.le Data – IA & Computer Vision
Job Description: Job Title: Data Functional Expert – AI & Computer Vision Role Summary: Bridges business and technical teams to deliver high‑quality AI pipelines for document intelligence (OCR, NLP, Computer Vision). Designs extraction rules, manages human‑in‑the‑loop QA, monitors performance, and mentors stakeholders on AI capabilities and limits. Expectations: Ensure end‑to‑end document intelligence meets business requirements and quality standards. Define extraction schemas, validate outputs, analyze errors, enforce Go/No‑Go criteria, and continuously improve models while acting as the primary liaison between domain experts and data scientists. Key Responsibilities: - Define functional extraction rules, document layouts (zones, patterns), and validation strategies. - Lead functional QA of AI models, including error analysis and fallback validation loops. - Establish Go/No‑Go criteria, manage human‑in‑the‑loop feedback cycles, and track improvements. - Monitor production performance, identify bottlenecks, and propose enhancements to annotation strategies and data pipelines. - Educate business users on AI strengths, limitations, and realistic expectations. - Collaborate across cross‑functional teams, challenge assumptions, and promote continuous improvement. Required Skills: - Proven expertise in Intelligent Document Processing (OCR, NLP, Computer Vision) applied to documents. - Experience designing and architecting data pipelines; familiarity with large language models for pre‑annotation. - Strong functional testing, error analysis, and validation criterion definition. - Knowledge of banking and/or insurance domain is a plus. - Excellent communication, critical thinking, and ability to guide business and technical stakeholders. - Collaborative mindset and aptitude for leading change in cross‑functional environments. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field. - AI, NLP, or cloud data services certifications are advantageous but not mandatory.

Nantes, France

Hybrid

09-12-2025

Company Name: Valeuriad
Job Title: Data Scientist Expérimenté H/F
Job Description: Job title: Senior Data Scientist Role Summary: Develop and industrialize advanced AI solutions—including generative chatbots and computer‑vision document processing—within a collaborative Scrum team. Own end‑to‑end workflows from data enrichment and model training to large‑scale deployment and performance optimization. Expectations: - Deliver production‑ready AI models with measurable impact. - Scale solutions across clients, ensuring reliability and cost‑efficiency. - Continuously improve data pipelines, model performance, and infrastructure. Key Responsibilities: - Evolve chatbot platforms using LLMs, integrating new knowledge bases and automating performance metrics (e.g., LLM as judge). - Design and implement document classification and targeted information extraction pipelines, leveraging OCR and NLP techniques. - Build and maintain dashboards for model monitoring and business metrics. - Collaborate across data, development, testing, product ownership, and project management roles in a Scrum cadence. - Evaluate open‑source and cloud model options (GPT‑4o, LLaMA, Gemma, etc.) to balance quality and cost, and oversee deployment (e.g., Dataiku, API orchestration). - Participate in code reviews, maintain clean Git workflows, and document decisions. - Support clients in understanding AI capabilities and deployment readiness. - Contribute to internal innovation initiatives and communities of practice. Required Skills: - Proficient in Python with industrial‑scale engineering mindset. - Advanced SQL query writing and optimization. - Deep knowledge of machine‑learning pipelines, model training, and evaluation. - Expertise in Transformer architectures and LLM fine‑tuning (RAG, LangChain, LangGraph). - Experience with OCR tools, computer‑vision frameworks, and indexing libraries (e.g., pgvector, vector stores). - Familiarity with containerization, CI/CD, and MLOps tooling. - Strong Git proficiency and collaborative workflow. - Ability to write clear product‑level documentation and stakeholder communication. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - Professional certifications in data engineering, ML, or AI (e.g., TensorFlow, ML Ops) preferred.

Company Name: Valeuriad
Job Title: Intégrateur DevOps Expérimenté
Job Description: Job Title: Experienced DevOps Engineer Role Summary Ensure end‑to‑end deployment reliability, security, and automation for production environments. Empower developers to adopt a “build it, run it” mindset by providing robust CI/CD pipelines, infrastructure-as-code solutions, and monitoring tooling. Expectations - ≥5 years of DevOps or Site Reliability Engineering experience. - Broad technology knowledge: Kubernetes, Docker, Terraform, Ansible, Jenkins/GitLab CI, AWS/GCP/Azure. - Strong automation mindset with proven IaC deployments and CI/CD pipeline construction. - Excellent communication and mentoring skills; ability to work collaboratively with developers, ops, architects, and product owners. - Proactive self‑starter who continuously learns and champions best practices. Key Responsibilities - Design, implement, and maintain CI/CD pipelines (GitLab CI, Jenkins, SonarQube). - Build and manage infrastructure-as-code modules using Terraform and Ansible. - Administer and orchestrate containerized workloads on Kubernetes and Docker. - Configure and operate observability stack (Prometheus, Grafana) for metrics and alerts. - Secure deployment processes, including image scanning, vulnerability management, and role‑based access. - Collaborate on performance testing, load‑testing scenarios, and capacity planning. - Mentor teams on DevOps practices and tooling adoption. Required Skills - Container orchestration: Kubernetes, Docker. - Infrastructure tooling: Terraform, Ansible, Helm. - CI/CD & CI tools: GitLab CI, Jenkins, SonarQube. - Monitoring & observability: Prometheus, Grafana, Alertmanager. - Cloud platforms: AWS, GCP, Azure (multi‑cloud experience). - Scripting & automation: Bash, Python, or equivalent. - Version control: Git. - Configuration management, secrets handling, and secure deployment practices. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Certifications preferred: Certified Kubernetes Administrator, Terraform Associate, AWS Certified DevOps Engineer, or similar.

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