Rol IA · Oferta abierta

Senior ML Engineer — insurance AI

Facile.it

Tiempo completo
Senior
Pricing ML
Hybrid
Via Carlo Bo 11, 20143 Milan, Italy · Hybrid
EUR 68k–90k/year

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: Via Carlo Bo 11, 20143 Milan, Italy · Hybrid
Compensación: EUR 68k–90k/year
Nivel de experiencia: Senior
Equipo: Pricing ML
Beneficios

Sobre el rol

Qué busca el equipo y cómo encaja el puesto.

Facile.it is hiring a Senior Senior ML Engineer — insurance AI on the Pricing ML team (Hybrid · Milan, Italy). 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.

Facile.it is Italy’s leading insurance and utilities comparison marketplace.

Pricing and conversion ML teams optimize ranking and lead quality with large-scale A/B testing.

What you will do

Ship production insurance marketplace 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.).

SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.

Encajas muy bien si…

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

You can show evidence in your application: Ranking or conversion model with A/B test story.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Spark.
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 · Milan, Italy)—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 68k–90k/year, 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

Ranking or conversion model with A/B test story.

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

Talento IA que podría interesarte

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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Senior ML Engineer — insurance AI

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