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Senior Data Scientist (Gen AI, NLP)

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Capgemini

1mo ago

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

AI generated summary

  • You must have a degree in a related field, over 3 years of ML/DL experience, proficiency in Python/R, knowledge of Databricks, cloud services, and advanced ML frameworks.
  • You will lead AI initiatives, develop ML/NLP solutions, manage datasets, define end-to-end ML processes, train models, maintain existing systems, mentor juniors, and participate in technical proposals.

Requirements

  • Es necesario que aportes Grado en Informática, Matemáticas, Física o Ingenierías similar y puedas desenvolverte bien con:
  • Experiencia en el desarrollo de proyectos en el entorno de la IA generativa trabajando con NLP, LLMs,
  • Experiencia contrastada de más de 3 años en proyectos aplicando técnicas de ML y DL en entornos productivos.
  • Experiencia en la definición, creación, despliegue y mantenimiento de modelos de ML y DL sobre entornos productivos.
  • Conocimiento sobre Python y/o R en el ámbito de la ciencia de datos.
  • Conocimiento Databricks.
  • Conocimientos avanzados sobre frameworks de Aprendizaje Automático (TF, PyTorch, Scikit-learn, etc).
  • Conocimientos avanzados sobre servicios analíticos cloud sobre AWS, GCP o Azure.
  • Capacidad para trabajar en equipo de manera efectiva.
  • Proactividad a la hora de construir soluciones y aplicar nuevas funcionalidades relacionadas con la tecnología en uso.
  • Además, sería genial si tienes:
  • PhD o Máster en ciencias de computación, ciencia de datos, inteligencia artificial, matemáticas o estadística.
  • Conocimientos avanzados sobre Apache Spark en el ámbito de la ciencia de datos (PySpark).
  • Conocimiento sobre Docker y/o Kubernetes.
  • Conocimiento sobre herramientas de visualización de datos (PowerBI o similares).
  • Certificaciones en AWS, GCP o Azure (u otras plataformas cloud equivalentes para el tratamiento de datos).
  • Experiencia desarrollando y utilizando aplicaciones de tipo SaaS.
  • Conocimiento y aplicación de la ciencia de datos en diferentes sectores e industrias: banca, seguros, telco, retail, etc.

Responsibilities

  • Tu misión será liderar, impulsar y desarrollar técnicamente con autonomía iniciativas en el ámbito de la IA generativa y ML y también:
  • Diseñarás, desarrollarás y realizarás el despliegue de soluciones usando modelos de Machine Learning, Deep Learning y Computer Vision.
  • Desarrollarás proyectos con NLP y LLMs.
  • Gestionarás y manipularás conjuntos de datos: Definición e identificación de variables de aprendizaje, generación de nuevos conjuntos, realización de transformaciones y limpieza.
  • Definirás procesos de Aprendizaje Automático End-to-End.
  • Desarrollarás procesos de entrenamiento mediante diferentes tipos de frameworks (TF, PyTorch, Scikit-learn, etc).
  • Desarrollarás procesos de inferencia en entornos On-premise o Cloud.
  • Realizarás el mantenimiento de modelos existentes de Aprendizaje Automático.
  • Liderarás equipos técnicos de proyecto.
  • Realizarás la mentorización de Data Scientists Junior o en formación.
  • Participarás en propuestas técnicas a nivel nacional e internacional.

FAQs

What is the role of a Senior Data Scientist at Capgemini?

The role involves leading and developing initiatives in generative AI and machine learning, designing and deploying solutions using ML, deep learning, and computer vision, and managing data sets for end-to-end machine learning processes.

What qualifications are required for this position?

A degree in Computer Science, Mathematics, Physics, or a similar engineering field is necessary, along with experience in generative AI, natural language processing (NLP), and over three years of practical application of machine learning and deep learning techniques.

Are there opportunities for career development in this position?

Yes, Capgemini offers continuous training and access to various learning platforms, as well as mentorship opportunities for junior data scientists.

What technologies should I be familiar with?

Candidates should have knowledge of Python or R, frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as analytics services on cloud platforms such as AWS, GCP, or Azure.

Is previous experience in a specific industry valued?

Yes, experience in applying data science in various sectors such as banking, insurance, telecommunications, or retail is beneficial.

Does Capgemini offer any flexibility regarding work location?

Yes, there is an option to work remotely from another country for up to 45 days under the FlexAbroad program.

What types of benefits does Capgemini provide?

Benefits include 24 vacation days, additional personal days, a flexible compensation plan, life and accident insurance, and participation in social action initiatives.

Is there support for employees with disabilities?

Yes, possessing a disability certificate is positively valued as part of our inclusion and diversity policy.

How does Capgemini support work-life balance?

Capgemini has a comprehensive Development and Reconciliation measures, including well-being programs and flexible holiday options.

Can I expect to work on international projects?

Yes, the position involves participation in technical proposals at both national and international levels.

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Capgemini

Get the Future You Want

Technology
Industry
10,001+
Employees
1967
Founded Year

Mission & Purpose

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.