Capgemini Engineering

Data Scientist (Generative AI)

Capgemini Engineering

Vila Nova de Gaia, PT; Lisboa, PT; Fundão, PT (Hybrid)

Job Type Permanent
Experience Experienced Professionals
Posted 2 weeks 5 days ago
Hybrid Experienced Professionals Level

About Capgemini Engineering

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. Our digital and software technology experts provide R&D and engineering services across industries.

Your role

  • Design and develop interactive search experiences powered by Generative AI for leading customers in different industries.
  • Implement and optimize Generative AI solutions on cloud platforms such as Google Cloud, AWS, and Azure, or on-premises infrastructure.
  • 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.

Your profile

  • At least 3 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 or on-premises AI deployment, including storage, compute engines, and AI services such as Vertex AI, SageMaker, and Azure AI.
  • Hands-on experience with Generative AI models and tools, including 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.
  • Strong communication skills and the ability to work effectively in a team environment.
  • Fluency in Portuguese and English.

What you’ll love about working here

  • Multicultural and inclusive team environment.
  • Supportive atmosphere promoting work-life balance.
  • Hybrid work.
  • Career growth programs, training, and certifications in cutting-edge technologies.
  • Exciting national and international projects.
  • Health and life insurance.
  • Referral program with bonuses for talent recommendations.
  • Great office locations.

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