Inactive
C

Capgemini

Global consulting, technology services, outsourcing

Generative AI Expert / Data Scientist / Full Stack Developer

AI Application Engineering +1Posted on Aug 3
Full-timeMadrid, SpainNo salary listedHybrid

About the Job

Requirements

  • More than 5 years of experience in software development and/or data science.
  • More than 2 years of experience in generative AI projects.
  • Proficiency in Python.
  • Experience with large language models such as GPT, Claude, Gemini, Llama, or Mistral.
  • Knowledge of frameworks such as LangChain, LangGraph, Semantic Kernel, or CrewAI.
  • Experience with Retrieval-Augmented Generation architectures and semantic search.
  • Knowledge of vector databases such as Azure AI Search, Pinecone, Weaviate, Chroma, or Milvus.
  • Experience in machine learning and data science.
  • Backend development experience with Python frameworks such as FastAPI, Flask, or Django.
  • Frontend development experience with React, Angular, or Vue.js.
  • Experience with Docker, Kubernetes, and continuous integration and continuous delivery (CI/CD).
  • Knowledge of Git and agile methodologies.

Responsibilities

  • Design and implement generative AI solutions using large language models and multimodal models.
  • Develop Retrieval-Augmented Generation architectures and intelligent agents.
  • Build data pipelines for model training, validation, and monitoring.
  • Apply advanced data science, machine learning, and MLOps techniques.
  • Develop full-stack applications integrating AI capabilities.
  • Design APIs and microservices to expose AI functionalities.
  • Implement solutions in cloud environments such as Azure, AWS, or GCP.
  • Optimize system performance, costs, and scalability.

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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