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Capgemini

Global consulting, technology services, outsourcing

Medior AI Engineer

Applied Machine LearningUpdated on Nov 14
Full-timeIn-person

About the Job

Requirements

  • Have hbo- or wo-level work and thinking capacity and 2 to 4 years of relevant experience as an AI/ML Engineer or in a comparable data role.
  • Have strong knowledge of machine learning, large language models, and software engineering, and experience with prompt engineering.
  • Program in Python and use Git; be able to write, test, document, and maintain code.
  • Have experience with frameworks such as PyTorch, TensorFlow, and/or scikit-learn.
  • Work with APIs, data processing, and modern data and cloud environments, and understand MLOps and deployment.
  • Be able to explain technical choices, contributions, and results clearly to technical and non-technical stakeholders.
  • Have excellent spoken and written Dutch at C1 level.
  • Complete a PES screening as part of onboarding.

Responsibilities

  • Translate customer questions into concrete AI use cases and robust solutions that deliver value in production.
  • Develop generative AI solutions using large language models, prompts, and proprietary data sources, including retrieval-augmented generation applications.
  • Build agentic AI solutions in which agents independently perform tasks within predefined boundaries.
  • Integrate AI solutions via APIs into applications and business processes, ensuring explainability and reliability.
  • Test, monitor, and improve responses, agent behavior, performance, and costs, and investigate errors and hallucinations.
  • Remain involved from the initial customer request and prototype through integration, production, and further development.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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