Machine Learning Engineer at Grover

G
Grover

Machine Learning Engineer

de flag
Germany

Hybrid

Full Time

#Technology

#Machine Learning

#Risk

#SQL

#Python

#AWS

#Kubernetes

Grover is looking for a Machine Learning Engineer
Full TimeMid-LevelHybridGermanyTechnologyMachine LearningRiskSQLPythonAWSKubernetesEnglishHybrid workPaid time offMental wellness budgetLearning budget

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We are looking for a mid-level Machine Learning Engineer to join our team on a full-time basis. At Grover, we are changing how people access technology by providing flexible, sustainable rental subscriptions for the latest devices. Since our founding, we have circulated over 1.2 million items and reached unicorn status, all while preventing hundreds of tons of e-waste. We are currently seeking someone to work in a hybrid capacity at our Berlin headquarters, where you will focus on the deployment and maintenance of models for our Risk team.

Responsibilities

  • Collaborate with data scientists to productionize and deploy machine learning models specifically for fraud detection and credit risk.
  • Design, build, and monitor robust machine learning pipelines while ensuring the integrity of datasets used in production.
  • Manage and optimize real-time decision engines that handle critical tasks like order approvals.

Requirements

  • A bachelor’s degree in a quantitative field such as computer science, mathematics, or physics.
  • Between 2 and 5 years of professional engineering experience, ideally within a fast-paced startup environment.
  • Strong proficiency in SQL and a solid understanding of software development best practices.
  • Familiarity with machine learning algorithms and at least one major cloud provider, such as AWS.
  • Experience with Python and data frameworks like Pandas, along with a working knowledge of Kubernetes.
  • Fluency in English and the ability to communicate technical concepts effectively.

What we offer

  • A flexible hybrid work environment that includes the option to work from abroad for 30 days each year.
  • Generous paid time off, starting with 28 days of vacation.
  • A dedicated learning budget of 1000€ per year to support your professional growth.
  • Access to a mental wellness budget through Nilohealth to help you prioritize your well-being.
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Grover

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