Machine Learning Engineer for GTM Optimization

4 semanas atrás


Lisboa, Lisboa, Portugal Mollie Tempo inteiro

Role Overview

We are seeking a skilled Machine Learning Engineer to join our growing team at Mollie, specializing in the development of predictive models for the GTM Optimization Domain. As a key member of our Craft, you will play a crucial role in designing and implementing ML solutions that drive business growth and customer satisfaction.

About Us

Mollie is a leading payment service provider dedicated to making financial transactions seamless and secure. Our cutting-edge technology and commitment to innovation enable us to provide exceptional services to businesses and individuals alike.

Responsibilities

  • Develop and maintain robust machine learning models for various use cases within the GTM Optimization Domain
  • Collaborate with cross-functional teams to identify areas of improvement and implement data-driven solutions
  • Conduct exploratory data analysis to uncover insights and inform strategic decisions
  • Stay up-to-date with industry trends and advancements in machine learning and AI
  • Participate in bi-weekly knowledge sharing sessions to exchange ideas and best practices with colleagues

Requirements

  • 1-3 years of experience in data science and machine learning, including successful model deployments
  • Expertise in using applied machine learning on structured data, particularly regression and classification problems using boosted decision tree algorithms
  • Familiarity with Generative AI, including large language models and embedding models, especially leveraging GenAI in non-chat applications
  • Strong foundation in statistics and software engineering skills, with expertise in Python programming
  • Comfortable working in an agile environment and familiar with Git version control

Benefits

  • Competitive salary: €85,000 - €110,000 per year
  • Bonus structure based on performance
  • MacBook and other equipment
  • 20 days of vacation and 22 holidays
  • Complimentary baby days and work-from-home budget
  • Bike lease plan and pension contribution
  • Health insurance and equity plans
  • Referral bonus and access to a learning platform

How We Hire

  1. Initial application screening by our Talent Acquisition team
  2. Screening call to assess fit and qualifications
  3. Technical interviews to evaluate skills and experience

Diversity, Equity & Inclusion

Mollie values diversity and promotes a culture of inclusion, respect, and open communication. We encourage applicants from diverse backgrounds and perspectives to join our team.



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