Senior MLOps Engineer

Alice & Bob · Paris · publiée le 2026-08-18 · ouverte depuis 14 jours

Les missions

We are building a modern, AI-ready Data Platform on Google Cloud Platform. As a Senior MLOps / LLMOps Engineer, you will help turn ML and AI experiments into reliable, production-ready solutions. You will work closely with researchers, data scientists and engineers to build the infrastructure and practices needed to train, deploy and operate models at scale. You will also play an important role in helping teams adopt AI technologies and best practices across the company.

Technologies citées

GCP

Score de 95 sur 100 — voir comment il est calculé

Fraîcheur (jours depuis publication)30 / 30
Missions clairement identifiables15 / 15
Description ni tronquée ni noyée10 / 10
Ville identifiée8 / 8
Famille de métier identifiée7 / 7
Type de contrat annoncé0 / 5
Technologies citées (postes techniques)5 / 5
Lien de candidature vérifié vivant20 / 20

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Annonce complète

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously! We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together! About the role We are building a modern, AI-ready Data Platform on Google Cloud Platform. As a Senior MLOps / LLMOps Engineer, you will help turn ML and AI experiments into reliable, production-ready solutions. You will work closely with researchers, data scientists and engineers to build the infrastructure and practices needed to train, deploy and operate models at scale. You will also play an important role in helping teams adopt AI technologies and best practices across the company.

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