TL;DR
Junior MLOps Engineer (AI): Improving and streamlining the lifecycle of AI models, from development to production, across a diverse array of topics surrounding production-deployed models. Focus on automating monitoring & observability and building deployment platforms.
Location: Onsite
Company
Swissquote is the Swiss Leader in Online Banking, providing trading, investing and banking services to +650’000 clients through performant and secured digital platforms.
What you will do
- Automate the evaluation of deployed AI applications and improve observability for both classical Machine Learning models and Generative Models.
- Contribute to the development of an internal platform based on MLflow to streamline the developer experience.
- Design, optimize, and orchestrate complex data and training pipelines using Argo Workflows.
- Help build a governance platform that acts as a central control plane, ensuring adherence to company regulations and compliance standards.
Requirements
- Degree in Computer Science, Data Science, Engineering, or a related field.
- Strong command of Python and engineering best practices.
- Understanding of DevOps concepts such as CI/CD (GitHub Actions) and containerization (Docker, Kubernetes).
- Infrastructure mindset focused on deploying, scaling, and monitoring models in production environments.
- Fluent in English and able to collaborate effectively within a technical team.
Nice to have
- Familiarity with frontend development (for building internal tools and dashboards).
Culture & Benefits
- Flexible work environment in multicultural teams.
- Opportunity to grow skills and boost career in a fast-paced environment.
- Equal opportunity employer welcoming candidates from all backgrounds, experiences and perspectives.