Inactive
C

Capgemini

Global consulting, technology services, outsourcing

AI Engineer - Data Science, Data Engineering

Applied Machine LearningPosted on Oct 1
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is required.
  • Professional experience in Data Science, Machine Learning Engineering, Data Engineering, or Big Data Engineering is required.
  • Solid experience with SQL and data modelling concepts is required.
  • Experience building data pipelines and data processing workflows is required.
  • Strong programming skills in Python are required.
  • Understanding of Machine Learning fundamentals and the AI solution lifecycle is required.
  • Knowledge of cloud platforms is required, preferably Google Cloud Platform (GCP).
  • Strong analytical and problem-solving skills are required.
  • Fluency in English is required.

Responsibilities

  • Design, develop, and maintain scalable data and AI solutions.
  • Build and optimize data pipelines supporting advanced analytics and machine learning use cases.
  • Develop, train, deploy, and monitor machine learning models in production environments.
  • Collaborate with data scientists, engineers, architects, and business stakeholders to deliver end-to-end solutions.
  • Implement cloud-native AI and data architectures, preferably on Google Cloud Platform (GCP).
  • Ensure data quality, governance, security, and performance across data platforms.
  • Automate data processing, model deployment, and monitoring through CI/CD and MLOps practices.
  • Contribute to the continuous improvement of AI, analytics, and data engineering best practices.

Desired Qualifications

  • Experience within the Telecommunications sector is highly valued.
  • Experience with Google Cloud Platform (GCP) is preferred.

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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