Senior Machine Learning Engineer for GTM Optimization

Há 6 horas


Lisboa, Lisboa, Portugal Mollie Tempo inteiro

At Mollie, we are building a cutting-edge Machine Learning Craft that provides innovative solutions to our colleagues in various domains. We are seeking an experienced Senior Machine Learning Engineer to join our team and contribute to the development of predictive ML models for the GTM Optimization Domain.

About Us

We are a dynamic company with a passion for innovation and excellence. Our team is comprised of talented professionals who share a common goal: to deliver exceptional results and push the boundaries of what is possible. With our headquarters in Amsterdam and hubs in Milan and Lisbon, we offer a unique opportunity to work in a geographically distributed team that is comfortable collaborating virtually and hybrid.

About the Role

As a Senior Machine Learning Engineer for GTM Optimization, you will be responsible for developing and maintaining ML models for a range of use cases in the GTM Optimization Domain. You will ensure that these models smoothly reach production and bring measurable value to our stakeholders. Your expertise in applied ML on structured data, particularly regression and classification problems using boosted decision tree (BDT) algorithms, will be instrumental in driving business growth and success.

What You'll Do
  • Develop and maintain ML models for the GTM Optimization Domain at Mollie.
  • Perform efficient exploratory data analysis (EDA) and present key insights to colleagues and stakeholders.
  • Avoid best practices and standards for the development of robust ML models.
  • Collaborate closely with MLEs to prepare your code and model for production using our ML Platform.
  • Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions).
What You'll Bring
  • 1-3 years experience in data science and machine learning, including the development of models that successfully went to production.
  • Expertise in using applied ML on structured data, particularly regression and classification problems using boosted decision tree (BDT) algorithms.
  • Basic experience with Generative AI, both large language models (LLMs) and embedding models, especially leveraging GenAI in non-chat applications.
  • An approach to complex problems in a structured way, always looking for the simplest, pragmatic solutions.
  • Understanding of the technical and non-technical constraints of a business problem.
  • Detail-oriented but able to quickly shift priorities if required.
Benefits

We offer a competitive salary of €120,000 - €150,000 per year, depending on experience, as well as a range of benefits, including:

  • Relocation assistance.
  • Professional development opportunities.
  • A dynamic and inclusive work environment.

We are committed to creating a workplace that is inclusive and respectful of all individuals. If you are passionate about machine learning and want to join a talented team that is pushing the boundaries of innovation, please submit your application. Estimated salary range is €120,000 - €150,000 per year.



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