AI Engineer

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

Join us in shaping the future of financial market compliance. We're investing in a new AI capability at our R&D group in Alkmaar, and we're looking for an AI Engineer to help build it from the ground up.

Our goal: build world-class AI models that help compliance officers sleep well at night — AI they can trust, and AI that gives them proof. To get there, we're investing in serious infrastructure (including dedicated high-end GPUs) and, more importantly, in the experts who know how to make the most of it. If you want to help shape this future and change the world of communication, market, and trade surveillance — we'd love to hear from you.

What You'll Do

Co-found and shape our new AI engineering team in NiCE Netherlands — you'll influence architecture, tooling, and culture from day one

Train and fine-tune LLMs, SLMs, and other ML/DL models for compliance use cases such as communication surveillance, market surveillance, and trade surveillance

Architect training pipelines that integrate cleanly with our data capture platforms

Optimize inference pipelines to deliver AI capabilities cost-efficiently at scale

Evaluate emerging AI techniques (RAG, agents, distillation, fine-tuning strategies, etc.) and bring the most promising ones into production

Own explainability and auditability end-to-end — from choosing the right interpretation technique (SHAP, attention analysis, custom audit trails) to producing model cards and evidence artefacts that satisfy compliance officers and regulators. This is a first-class engineering concern here, not an afterthought.

What We're Looking For

MSc or PhD in Computer Science, AI/ML, or a related field — or equivalent hands-on experience

Solid experience with modern ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)

Experience training and/or fine-tuning LLMs or SLMs

Strong NLP foundations applied to real-world problems — for example: sequence classification, named entity recognition, semantic search, or RAG over unstructured financial communications. Familiarity with the quirks of financial and regulatory text (abbreviations, jargon, high-stakes edge cases) is a plus

Familiarity with ML infrastructure: training pipelines, GPU clusters, MLOps

Pragmatic mindset — you care about getting models into production, not just into notebooks

Bonus: experience in financial services, RegTech, or any highly regulated domain

What We Offer

A rare opportunity to help build a new AI engineering team from day one

Access to dedicated high-end GPU infrastructure for model training and experimentation

A rock-solid data platform (NTR-X) on which to run your models

Competitive salary and strong benefits package

Personal development budget for training, conferences, and certifications

A dynamic, international company with a collaborative team culture

Hybrid working: 2 days in the office, 3 days from home

Meaningful work on systems used by some of the world's largest financial institutions