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Bertelsmann

Global media, services, and education conglomerate

Machine Learning Engineer - R&D

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePlewiska, PolandNo salary listedHybrid

About the Job

Requirements

  • A higher education degree in computer science, mathematics, statistics, data science, or a related field.
  • At least 2–3 years of experience designing and implementing machine-learning solutions.
  • Very good knowledge of Python and popular libraries for data analysis and machine learning.
  • Experience preparing data, training, validating, and deploying machine-learning models.
  • Knowledge of model monitoring and deploying solutions to production environments.
  • Ability to conduct data analyses and translate their results into business recommendations.
  • Knowledge of databases and SQL.
  • Communicative knowledge of English.

Responsibilities

  • Design, develop, and optimize machine-learning models and artificial-intelligence-based solutions.
  • Analyze and process data to identify trends, relationships, and opportunities for business improvement.
  • Create and verify proof-of-concept solutions in machine learning and data analytics.
  • Prepare models for production deployment, including validating, testing, and documenting solutions.
  • Monitor the quality, effectiveness, and performance of deployed models and recommend optimization actions.
  • Collaborate with R&D, IT, and business teams to identify and deliver initiatives using AI and data analysis.
  • Participate in code reviews and ensure the high quality of developed solutions.
  • Prepare recommendations and present findings resulting from data analyses.

About the Company

Bertelsmann

Global media, services, and education conglomerate

Bertelsmann is a global media, services, and education group made up of eight autonomous divisions, including RTL Group, Penguin Random House, BMG, and Arvato. It operates across B2B and B2C markets, with activities in broadcasting, book publishing, music rights management, and business process outsourcing. Its products range from streaming subscriptions and printed books to logistics, CRM services, and AI-powered content and rights-management tools. The company differentiates itself through a decentralized, entrepreneur-led structure that reinvests profits into content and digital infrastructure via its Boost program, backed by private foundations and the Mohn family. It aims to grow organically and through selective acquisitions while leveraging large-scale data and cross-divisional synergies to deliver personalized content and service experiences at a global scale.

Company size
10,001+
Company stage
Debt Financing
Total funding
$1.4B
Headquarters
Gütersloh, Germany
Founded
1835

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