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MLOps Engineer Intern

Swissquote Bank SA

Gland, Vd
CDI
Publié le 13 novembre 2026 · Expire le 13 décembre 2026

Description du poste

--- base: meta-keywords: meta-viewport: width=device-width, title: MLOps Engineer Intern --- MLOps Engineer Intern ===================== At Swissquote, we're all in. All in to shake things up. All in to build the bank people actually want to use. All in to make finance less boring --- and a lot more powerful. We're Switzerland's leading digital bank --- 1,500+ people across Europe, the Middle East and Asia, building real financial solutions for over a million clients worldwide. From trading and investing to everyday banking, we cover the full picture. We move fast, but we build things we're genuinely proud of. Have a look behind the scenes by checking Humans of Swissquote on Instagram. Growing fast creates room. Room to try things, own things, and grow at a pace most places can't offer. Whether you like the spotlight or prefer to just put your head down and do great work, there's space for both here. We've ditched the dress code --- but never the chance to celebrate. Big win or small, we make it count. The kind of place where the atmosphere takes care of itself. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success. Feeling it? It's a good start. Apply. The AI Research & Solutions department at Swissquote is looking for an MLOps Intern to help bring AI applications from experimentation to reliable, scalable production. You will gain hands-on experience across the AI lifecycle, with a strong focus on the infrastructure and tooling behind LLM applications and AI agents, alongside traditional machine learning models. During your internship, you will: Improve monitoring and evaluation: Help automate the evaluation and monitoring of deployed AI applications. Develop observability for LLM responses, agent workflows and tool interactions, tracking quality, reliability, latency and cost. Build deployment tooling: Contribute to our internal MLflow-based platform, helpin