Machine Learning Engineer: Predictive Model Developer
1 week geleden
Floryn B.V. is a fast-growing fintech company in the Netherlands, aiming to be the most responsible, scalable, and customer-friendly online lender in Europe. With over €800 million lent since 2016 and €7 billion in transaction volume, we're looking for a skilled Machine Learning Engineer to drive impactful initiatives across various stages of the machine learning lifecycle.
Job DescriptionIn this role, you will build and deploy predictive models trained on the financial data of our clients, driving business growth and improving credit-risk processes. You'll collaborate directly with risk teams, innovate freely, and shape our tech landscape without traditional oversight.
- Build and deploy predictive models using classic machine learning techniques, including regression, classification, clustering, and time-series forecasting.
- Owning your impact, you'll work alongside a team of six data professionals to develop and improve our code base, ensuring well-tested, robust code.
- You'll experiment with features to improve our modeling, bringing projects to production and ensuring impactful contribution.
We're seeking a skilled Machine Learning Engineer with at least 3 years of hands-on experience in training and deploying models in production environments. You should have strong expertise in Python/R and SQL, with a focus on creating value rather than obsessing over hyperparameters.
- At least 3 years of experience in training and deploying machine learning models in production environments.
- Strong expertise in Python/R and SQL.
- An analytical mindset with a critical approach to problem-solving.
We offer a competitive salary, pension contribution, and 30 days paid time off. You'll enjoy a flexible work environment with options for remote and in-office work, travel comfortably by first-class rail or €0.21/km, and daily 'bourgondische' lunch at the office.
A generous budget is available for developing yourself with books, courses, and conferences, and many team activities are available, from drinks to sporting events.
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