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Generative AI - Hybrid Intelligence

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Madrid

AI generated summary

  • You must have a degree in Engineering or similar, experience in Data Science/AI, proficiency in R/Python, knowledge of NLP and LLM, and high English proficiency. Familiarity with DevOps is a plus.
  • You will develop and deploy generative AI solutions, create scalable Python microservices, implement advanced AI techniques, and work on NLP projects.

Requirements

  • Eres Graduado en Ingeniería, Matemáticas, Física o similar
  • Tienes experiencia como Data Scientist y en Inteligencia Artifficial ( IA ) o Machine Learning ( ML )
  • Tienes experiencia trabajando con R, Python , Pandas, Numpy, Matplotlib, Scikit-Learn, pySpark ...
  • Estás familizarizado con NLP y LLM
  • Valoraremos que estés familiarizado con prácticas de DevOps y MLOps e infrastructuras cloud .
  • Tienes un nivel alto de inglés

Responsibilities

  • Desarrollar y desplegar soluciones de inteligencia artificial generativa, con enfoque en ingeniería de prompts, RAG y LLMs.
  • Crear microservicios escalables en Python con calidad de producción.
  • Implementar técnicas avanzadas de IA como graph RAG y agentes de IA.
  • Desarrollar proyectos de procesamiento de lenguaje natural (NLP).

FAQs

What is the main focus of the Hybrid Intelligence team at Capgemini Engineering?

The Hybrid Intelligence team focuses on a fusion of applied mathematics, scientific computing, artificial intelligence, and software engineering to deliver revolutionary and multidisciplinary solutions for clients.

What qualifications are required for the role?

Candidates should be graduates in Engineering, Mathematics, Physics, or a related field, with experience as a Data Scientist or in AI/ML.

What programming languages and tools should I be familiar with?

Familiarity with R, Python, Pandas, Numpy, Matplotlib, Scikit-Learn, and pySpark is required.

Is experience with natural language processing (NLP) necessary for this position?

Yes, experience with NLP and large language models (LLMs) is essential for this role.

Are there opportunities for professional development?

Yes, Capgemini offers extensive training programs including online certifications, access to platforms like Coursera and Udemy, and continuous learning opportunities.

What is the vacation policy at Capgemini?

Employees receive 24 days of vacation, plus 2 personal days, and are off on December 24th and 31st, with the option to purchase up to 7 additional vacation days per year.

Is there an emphasis on diversity and inclusion within the company?

Yes, Capgemini values diversity and has a comprehensive equality plan and ethical code to ensure a discrimination-free workplace.

Will I have the opportunity to work on projects involving generative AI?

Yes, you will be responsible for developing and deploying generative AI solutions, with a focus on prompt engineering and implementing advanced AI techniques.

Does Capgemini support work-life balance?

Yes, the company provides a range of measures for development and work-life balance, including a buddy program for new employees and flexible working options.

How can I apply for a position at Capgemini?

Interested candidates can visit the Capgemini website to find more information and submit their applications.

Capgemini Engineering, the leader in engineering and R&D services, helps clients unleash their R&D potential.

Technology
Industry
10,001+
Employees

Mission & Purpose

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.