MLOps Engineer Intern

Company Description 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, helping engineers version, package and deploy models and agents on our infrastructure.
• Automate pipelines: Build and improve reproducible data, training and evaluation pipelines using Argo Workflows, and contribute to automated testing and deployment.
• Support AI governance: Help develop internal tools for tracking deployed AI applications, improving traceability and supporting company governance and compliance requirements.

• Ongoing studies in Computer Science, Data Science, Engineering or a related field.
• Good Python skills and an interest in writing maintainable software.
• Familiarity with—or a strong motivation to learn—CI/CD, GitHub Actions, Docker and Kubernetes.
• Curiosity about LLMs and AI agents, particularly how they are deployed, evaluated and monitored in production.
• An organized, proactive approach, a willingness to learn and the ability to collaborate effectively in English. Experience with frontend development is a plus, as you may also contribute to interfaces for internal tools.

"Please note that Swissquote never requests sensitive personal information or payment of any kind during the recruitment process. Any such request is fraudulent.”

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