Join our dynamic AI team at Swissquote where our AI systems are revolutionizing banking by delivering impactful solutions. From classical machine learning models that support our core operations to a suite of advanced large language model (LLM) applications, we are at the forefront of technological innovation. As we expand our offerings, we are seeking a motivated Junior Machine Learning Engineer to help us design, develop, and deploy AI-driven solutions, with a specific focus on LLM applications.In this role, you will engage in projects from inception to deployment, taking responsibility for the development of production-ready systems that serve real users. This position offers you the chance to make significant contributions early in your career and influence how AI technologies are integrated across our organization.Key Responsibilities:Create LLM-Based Applications: Design and implement applications that utilize large language models, including retrieval-augmented generation (RAG) systems, workflow automation, and conversational interfaces, tailored to meet complex business requirements in a regulated setting.Model Development & Fine-Tuning: Train, fine-tune, and evaluate classical machine learning and LLM models, selecting the most effective methodologies while optimizing for production constraints like latency, cost, and precision.Production Engineering: Develop reliable and scalable machine learning services and APIs, ensuring high standards of code quality, testing, and maintainability.Continuous Evaluation: Contribute to the creation of evaluation frameworks for AI applications, especially generative systems, to drive ongoing enhancements.Stay Updated: Keep abreast of advancements in LLM technologies, evaluate new tools and techniques, and apply them to provide tangible benefits to the team.Cross-Team Collaboration: Work closely with data scientists, MLOps engineers, product managers, and business stakeholders to convert business challenges into effective AI solutions.
Feb 27, 2026
