MLOps Engineer Intern

Job Description

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.

Qualifications

• 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.

Additional Information

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