CAD Fachkraft (m/w/d)

AI & Data Engineer

The AI & Data Engineer designs, builds, and operationalises advanced data and AI solutions within a regulated environment. The role supports transformation initiatives by enabling scalable analytics, machine learning, and LLM‑based systems, ensuring robustness, performance, and compliance throughout the AI lifecycle.

Key Responsibilities

• Data Engineering & AI Development
  • Design and maintain data pipelines and data products for analytics and AI use cases.
  • Develop hybrid data architectures (on‑premise / cloud).
  • Implement CI/CD automation, testing frameworks, and industrialised delivery processes.
• Machine Learning & Advanced Analytics
  • Develop, deploy, and monitor machine learning models (e.g., fraud detection, AML/KYC, performance analytics).
  • Conduct experimentation and prototype evaluation using structured metrics.
  • Translate research into production‑ready solutions and support code reviews.
• AI & LLM Engineering
  • Build solutions for OCR, document classification, information extraction, and retrieval‑augmented generation (RAG).
  • Design prompt templates, evaluation datasets, and LLM interaction workflows.
  • Integrate modern AI platforms and tools into operational processes.
• Architecture & MLOps
  • Integrate AI models into business systems via APIs, microservices, and orchestration layers.
  • Ensure secure, production‑grade deployments with monitoring, versioning, and governance.
• Stakeholder Collaboration
  • Produce technical documentation and communicate insights to both technical and business stakeholders.
  • Support risk, compliance, and business teams to ensure responsible AI adoption.

Skills & Experience

• Required
  • 5+ years of experience in data engineering, data science, or AI roles within regulated environments.
  • Strong expertise in Python, SQL, Git, and modern data/AI tooling.
  • Experience designing large‑scale data pipelines.
  • Solid knowledge of machine learning, NLP, vector search, and model evaluation.
  • Experience with platforms such as Dataiku, Snowflake, or other big data environments.
  • Fluency in French and English.
• Preferred
  • Experience with LLM frameworks, prompt engineering, and document‑intelligence workflows.
  • Knowledge of OCR technologies (e.g., Tesseract, OpenCV).
  • Exposure to MLOps/DevOps practices (CI/CD, APIs, containers).
  • Understanding of banking processes, AML/KYC, risk, and regulatory frameworks.

Qualifications

• Master's degree or higher in Computer Science, Data Science, Mathematics, or related fields.
• 5+ years of professional experience in data engineering, data science, or AI within regulated industries.
• Relevant certifications (Dataiku, Snowflake, Python) are a plus.
• Languages: Fluent French and English.

If you are interested in this opportunity, please contact us at or by phone at .