AI role · Open offer

ML Engineer — telecom fraud detection

Intersec

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 51 Rue de l'Innovation, Lyon, ARA 69250, France · Hybrid
Compensation: EUR 55k–75k/year + BSPCE
Experience level: Senior
Team: AI platform
Benefits & perks

About this role

What the team is looking for and how this position fits.

Intersec is hiring a Senior ML Engineer — telecom fraud detection on the AI platform team (Hybrid · Lyon, France). This is a hands-on role in risk & decision ML—not a generic “AI enthusiast” post.

You will own real-time scoring, monitoring, and governance 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.

Intersec (Lyon) protège opérateurs telecom contre fraude avec ML temps réel.

ML Engineer fraud : streaming, graphes, alertes 24/7.

Missions

Détecter fraude SMS/voix/data.
Déploiement haute dispo.

Stack & environnement

Python, Spark/Kafka, PyTorch.

Profil recherché

Fraude ou anomaly detection.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

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

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.
KafkaTool
Streaming features or scores with ordering, idempotency, and monitoring for real-time systems.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Modèle fraude temps réel ou graphe avec déploiement 24/7.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and Spark.
You have owned real-time scoring, monitoring, and governance in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lyon, France)—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.

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What the employer asked for

Modèle fraude temps réel ou graphe avec déploiement 24/7.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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