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Capgemini

Global consulting, technology services, outsourcing

Data Scientist - Generative AI

Natural Language Processing & LLMsUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of experience in AI development, with a focus on Generative AI.
  • Proficiency in Python programming and a solid understanding of AI/ML frameworks.
  • Experience with cloud platforms such as GCP, AWS, or Azure, or on-premises AI deployment, including storage, compute engines, and AI services such as Vertex AI, SageMaker, or Azure AI.
  • Hands-on experience with Generative AI models and tools, such as text-generation APIs, chatbots, and enterprise search solutions.
  • Familiarity with vector data stores, custom embeddings, and deriving insights from embeddings is a plus.
  • Basic understanding of data warehousing and analytics tools such as BigQuery, Amazon Redshift, or Snowflake.
  • Fluency in Portuguese and English.

Responsibilities

  • Design and develop interactive search experiences powered by Generative AI for customers in different industries.
  • Implement and optimize Generative AI solutions on cloud platforms or on-premises infrastructure, depending on project needs.
  • Collaborate with cross-functional teams to create and deliver AI-driven products and services.
  • Develop, version, and execute Python code to build and refine AI models.
  • Deploy and manage AI models in various environments, ensuring robust performance and scalability.

Desired Qualifications

  • Familiarity with vector data stores, custom embeddings, and deriving insights from embeddings.

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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