Junior AI Engineer – Fraud Detection (Hybrid, Utrecht)

FRISS

Utrecht

Hybrid

EUR 33,000 - 45,000

Full time

4 days ago

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Benefits offered by this job

Hybrid work 1–2 days in Utrecht

Job summary

FRISS is seeking a Junior AI Engineer in Utrecht to join our AI/machine learning team. You will help build, test, and run ML and generative AI features, mentored by senior engineers, and contribute to production-ready code on Azure with Claude Code.

As part of the team, you'll work on fraud detection models, prompt design, data preparation, and monitoring of AI services, while aligning with GDPR and security practices in an international, English-speaking environment.

Qualifications

Master's degree in a relevant field (CS/AI/Data Science).
0–2 years of ML/LLM experience; internships and projects count.
Strong Python, Git, tests, and REST APIs knowledge.
Solid ML fundamentals and understanding of LLMs (prompting, embeddings).
Hands-on with at least one ML framework or API (OpenAI, Azure OpenAI, PyTorch, etc.).
Good English communication.

Responsibilities

Build and improve fraud detection features using ML models, LLMs, and AI Agents.
Write clean, tested Python code and contribute to shared components.
Build evaluation datasets and automated tests for LLM outputs.
Support deployment of AI services in Azure via CI/CD pipelines.
Monitor production AI services (logs, latency, cost) and fix issues.
Prepare and analyze data, including unstructured text, with privacy in mind.
Document work and share findings with the team and stakeholders.