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Capgemini

Global consulting, technology services, outsourcing

Machine Learning Engineer

Applied Machine LearningUpdated on Nov 14
Full-timeVila Nova de Gaia, PortugalNo salary listed

About the Job

Requirements

  • At least 3 years of experience in Software Engineering, Machine Learning Engineering, or similar roles.
  • Proven experience deploying and operating machine learning models in production.
  • Strong knowledge of the end-to-end machine learning lifecycle and MLOps best practices.
  • Proficiency in Python, API development, testing, and software engineering practices.
  • Hands-on experience with continuous integration and continuous delivery, MLflow, model registries, and model monitoring.
  • Experience with containerization, distributed processing, and model serving.

Responsibilities

  • Develop and operate machine learning and artificial intelligence solutions in production environments.
  • Build APIs, integrations, and continuous integration and continuous delivery pipelines to deploy and manage machine learning models.
  • Monitor model performance, data quality, drift, and reliability.
  • Support model lifecycle activities, including retraining, versioning, and rollback.
  • Collaborate with Data Science, Engineering, Product, and AI teams to deliver business value.
  • Contribute to LLMOps, model governance, and continuous improvement initiatives.
  • Participate in code reviews, incident management, and Agile delivery processes.

Desired Qualifications

  • Experience in payments, fraud, or fintech environments.
  • Knowledge of AI governance, model risk management, and EU AI Act requirements.
  • Familiarity with LLMOps and Generative AI operational frameworks.

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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