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 .

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Accurat Gesellschaft für Personaldienstleistungen mbH - Berlin - Marzahn