[Hiring] AI and Business Intelligence @Capgemini

Role Description

Hello! We are CAPGEMINI, a TOP EMPLOYER company with 360,000 PEOPLE around the world united by the same passion: leading the evolution towards a sustainable and inclusive future through TECHNOLOGY. In our global Insights & Data business unit we are growing and we are looking for professionals with Generative AI profile.

Your mission will be to lead, drive, and technically develop initiatives in the field of generative AI and ML autonomously and also:

• Design, develop, and deploy solutions using Machine Learning, Deep Learning, and Computer Vision models.
• Develop projects with NLP and LLMs.
• Manage and manipulate data sets: Definition and identification of learning variables, generation of new sets, transformation, and cleaning.
• Define End-to-End Machine Learning processes.
• Develop training processes using different frameworks (TF, PyTorch, Scikit-learn, etc).
• Develop inference processes in On-premise or Cloud environments.
• Maintain existing Machine Learning models.
• Lead project technical teams.
• Mentor Junior or trainee Data Scientists.
• Participate in technical proposals at national and international levels.

Qualifications

• Degree in Computer Science, Mathematics, Physics, or similar Engineering.
• Experience in the development of projects in the field of generative AI working with NLP, LLMs.
• Proven experience of more than 3 years in projects applying ML and DL techniques in productive environments.
• Experience in defining, creating, deploying, and maintaining ML and DL models in productive environments.
• Knowledge of Python and/or R in the field of data science.
• Knowledge of Databricks.
• Advanced knowledge of Machine Learning frameworks (TF, PyTorch, Scikit-learn, etc).
• Advanced knowledge of cloud analytics services on AWS, GCP, or Azure.
• Ability to work effectively in a team.
• Proactivity in building solutions and applying new functionalities related to the technology in use.
• Fluent English and Spanish.

Requirements

• PhD or Master's in computer science, data science, artificial intelligence, mathematics, or statistics.
• Advanced knowledge of Apache Spark in the field of data science (PySpark).
• Knowledge of Docker and/or Kubernetes.
• Knowledge of data visualization tools (PowerBI or similar).
• Certifications in AWS, GCP, or Azure (or other equivalent cloud platforms for data processing).
• Developing and using SaaS applications.
• Knowledge and application of data science in different sectors and industries: banking, insurance, telco, retail, etc.

Benefits

• INDEFINITE CONTRACT.
• Continuous TRAINING and certifications with official partners.
• Access to national (80%) and international (FlexAbroad 45 days) Remote.
• Access to offices with COLLABORATIVE ENVIRONMENTS in multifunctional spaces.
• Teamwork and a good atmosphere are vital; we enhance our COMMUNITIES within the company.
• DIVERSITY in age, gender, ancestry, family; certified in Diversity and as an ETHICAL company for more than 11 years in a row.
• FLEXIBILITY, CONCILIATION, and fiscal and social BENEFITS to combine personal and professional life.
• Access to the FLEXIBLE RETRIBUTION system.
• DISCOUNTS and promotions through our Capgemini Club (sports, travel,...).