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Charles LoiseauCL

Charles Loiseau

Local AI

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Charles

Product Engineer and DevSecOps, I help data and IT teams launch and scale reliable, performant, and secure AI platforms. My playground: Kubernetes, NVIDIA GPUs, Run:AI, Python, and automation (Ansible/Terraform/CI-CD).
At Crédit Agricole (via Orness), I managed a shared "GPU as a Service" offering for dozens of data/AI projects: roadmap, backlog, customer support, MCO/MCS, LLM integration (Hugging Face, vLLM), and promoting the offering to business units. Result: a platform usable by data scientists with governance, quotas, and controlled costs.
Previously at Société Générale (via Orness), I co-managed a private OS Factory (Scrum Master), migrated data from S3 to PostgreSQL, opened Ansible support, and stabilized a key service (success rate increased from ~80% to 98%). On the cybersecurity side, I implemented hardening for Windows/AIX/Red Hat (CIS/Qualys), automated compliance documentation, and assisted with audits (PCI-DSS, SWIFT, BCE).
I am comfortable with both "build" (design, industrialization, CI/CD) and "run" (reliability, observability, continuous improvement). My style: clear, impact-oriented, close to users, with concrete and measurable deliverables.
If you are looking for a profile capable of framing, delivering, and securing an AI/ML platform in a demanding environment (banking/finance, hybrid on-prem/AWS/GCP), let's talk.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Crédit Agricole
    Product Owner / DevOps Engineer
    BANKING AND INSURANCE
    April 2024 - Today (2 years and 4 months)
    Paris, France
    • Roadmap for project evolution over the year
    • Backlog management and prioritization
    • Communication & Customer Support
    • Platform MCO and MCS management
    • Coordination with other projects and clients
    • Implementation of new features
    • Implementation of LLMs for internal team projects
    • Dataiku offering with CA CIB hybrid AWS & on-prem & GCP
    • Creation of AI offering for CA-CIB client Technical environment: Python, Kubernetes, Ansible, Linux, S3, Jira, cuda, Huggingface, vllm, RunAI, Docker, Vault, Dataiku
    Dataiku Amazon Web Services Run:AI Kubernetes Artificial Intelligence
  • Société Générale via Orness
    DevSecOps
    BANKING AND INSURANCE
    November 2022 - April 2024 (1 year and 5 months)
    Paris, France
    • Scrum Master for the OS Factory/OS Configuration team
    ◦ Feature scoping
    ◦ Co-definition of the backlog with the Product Owner
    ◦ Participation in Agile ceremonies
    • Development of new features in Python
    • Data migration from S3 (stored in JSON format) to PostgreSQL
    • Implementation of Ansible modules for clients on OS Configuration (previously only Puppet was available)
    • Stabilization of OS Configuration, which allowed the success rate to increase from 80% to 98%
    Technical environment: Python/Flask, Kubernetes, Ansible, Linux, S3, Windows Server, Terraform, Packer, Puppet, Jenkins, Jira, git
    Python Programming Agile Scrum Methodology Practice Kubernetes Ansible Terraform
  • Société Générale via Orness
    Cybersecurity Engineer
    BANKING AND INSURANCE
    May 2021 - November 2022 (1 year and 6 months)
    Paris, France
    • Implementation of OS hardening for Windows, AIX, Red Hat (Qualys, CIS Benchmark)
    • Automation of OS hardening documentation (Python)
    • Implementation of security best practices
    • Support in security best practices for projects (Risk Analysis)
    • Support in certification processes PCIDSS, SWIFT, BCE
    Technical environment: Qualys, CIS Benchmark, Python/Flask, Jira, Internal tools for risk analysis
    Python Programming Qualys Atlassian JIRA Cybersecurity Risk Analysis

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Education

  • Master's Degree Expert
    EPITECH
    2019
    BAC +5 Expert

Skill set

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