Rol IA · Oferta abierta

ML Engineer — fintech risk

Mollie

Tiempo completo
Senior
Risk ML
Hybrid
Keizersgracht 126, 1015 CW Amsterdam, Netherlands · Hybrid
EUR 80k–108k/year + equity

Este anuncio está pensado para : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.

De un vistazo

Cómo trabajarás, dónde y fechas clave del anuncio.

Empleo: Tiempo completo
Modalidad: Hybrid
Ubicación: Keizersgracht 126, 1015 CW Amsterdam, Netherlands · Hybrid
Compensación: EUR 80k–108k/year + equity
Nivel de experiencia: Senior
Equipo: Risk ML
Beneficios

Sobre el rol

Qué busca el equipo y cómo encaja el puesto.

Mollie is hiring a Senior ML Engineer — fintech risk on the Risk ML team (Hybrid · Amsterdam, Netherlands). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Mollie powers payments for European SMBs with fast-growing risk and compliance ML teams.

Build chargeback, AML, and anomaly models with class imbalance expertise.

What you will do

Ship production fintech risk ML with offline evals, monitoring, and safe rollout.
Work with product and domain experts on requirements and trade-offs.
Improve data pipelines, labeling, and metrics tied to business KPIs.
Document runbooks for on-call and customer-facing teams.

What we look for

Strong Python and modern ML/LLM stack with shipped features.
SQL, experimentation, and clear communication to stakeholders.
Eligible to work in the listed country; professional English required.

Habilidades que buscamos

Qué implica cada capacidad en este rol — no solo una lista de palabras clave.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL

Herramientas y stack

Plataformas y productos mencionados para este rol (APIs, IDEs, BBDD vectoriales, CRM, diseño, etc.).

KafkaTool
Streaming features or scores with ordering, idempotency, and monitoring for real-time systems.

Encajas muy bien si…

Adaptado a esta oferta — úsalo para comprobar tu encaje antes de aplicar.

You can show evidence in your application: Chargeback or AML model with class imbalance handling.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Kafka.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Amsterdam, Netherlands)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 80k–108k/year + equity, benefits in At a glance) and your expectations align.

Aplicar

Solo cuentas candidato: añade tu titular y bio en , y opcionalmente un enlace o PDF de CV para que los reclutadores vean tu CV completo. Luego escribe un breve pitch — las candidaturas usan el correo de tu cuenta.

Lo que pide la empresa

Chargeback or AML model with class imbalance handling.

Inicia sesión con cuenta candidato para aplicar

Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.

Iniciar sesión Crear cuenta candidato

Sugerencias

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Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.

Aún no hay coincidencias cercanas en el directorio — prueba con tus filtros.

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ML Engineer — fintech risk

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