AI & Data Engineer
Purpose of the Role
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 cv@blackridgegroup.com or by phone at +352 20 61 04.