MLOps Engineer Intern

About the role

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.

Key responsibilities

• Improve monitoring and evaluation: help automate the evaluation and monitoring of deployed AI applications, and develop observability for LLM responses, agent workflows and tool interactions, tracking quality, reliability, latency and cost.
• Build deployment tooling: contribute to the internal MLflow-based platform, helping engineers version, package and deploy models and agents on the 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.

Required profile

• Ongoing studies in Computer Science, Data Science, Engineering or a related field.
• An organized, proactive approach, a willingness to learn and the ability to collaborate effectively in English.
• Curiosity about LLMs and AI agents, particularly how they are deployed, evaluated and monitored in production.

Required skills

• Good Python skills and an interest in writing maintainable software.
• Familiarity with, or strong motivation to learn, CI/CD, GitHub Actions, Docker and Kubernetes.
• Experience with frontend development is a plus, as you may also contribute to interfaces for internal tools.