Machine Learning Engineer (Python)

Do you want to join one of Switzerlands fastest growing AI SaaS businesses who have a rapidly growing customer base, including Fortune 500 companies? Keep reading!

About the Machine Learning Team

In our Machine Learning team, we are developing cutting-edge solutions for automated document processing. Machine learning is at the heart of our business, and we continuously innovate to enhance the quality and scalability of our AI-driven products. As we scale, you’ll play a key role in maintaining our architecture while solving complex technical challenges.

We use a modern tech stack including Python, Redis, TensorFlow, Docker, RabbitMQ, and microservices deployed on a Kubernetes cluster in the cloud. In this environment, you’ll have a significant opportunity to influence not only the technology but also the organisation’s growth and culture.

Key Responsibilities

Machine Learning

• Translate business problems into technical solutions, selecting the best tools and models to address them.
• Develop and maintain transformer-based NLP architectures for improved document processing.
• Stay updated with the latest in AI research and apply relevant findings to enhance our machine learning models.
• Manage and improve end-to-end prediction services, including model optimisation, data management, and system scalability.

Software Development

• Design and build clean, maintainable software solutions using Python, adhering to industry best practices and design patterns to maintain high-quality code.
• Conduct code reviews and provide feedback to ensure code quality and consistency across the team.

Requirements

• Master’s or PhD degree in Data Science/Computer Science with a focus on Machine Learning, or equivalent practical experience.
• At least 5 years of experience with machine learning algorithms in either academic or industry settings.
• Self-motivated with a structured approach to problem-solving and the ability to work autonomously.