Senior AI Scientist & GenAI Solutions Architect

EY; Málaga; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Continuous learning

Global career opportunities

Diverse and inclusive culture

Descripción de la vacante

EY Global Delivery Services (GDS) is recruiting a Senior Data Scientist to design, train and deploy AI/ML models. You will work across NLP-rich projects, framing scalable solutions and collaborating with software engineering and operations teams.

The role requires 3+ years in data science, strong Python and ML framework skills, and practical MLOps experience. Expect exposure to Azure, AWS or GCP and a global, dynamic team.

Formación

• 3+ years in Data Science and AI, production experience.
• Proficiency in Python and ML frameworks (TF, PyTorch, Pandas, scikit-learn).
• Strong NLP knowledge: tokenization, embeddings, similarity measures.
• Data analysis to derive actionable insights for business decisions.
• Hands-on MLOps: CI/CD, model monitoring, versioning (Git/Azure DevOps).
• Cloud deployment on Azure/AWS/GCP.

Responsabilidades

• Design, train, validate and deploy ML models end-to-end.
• Apply ML/AI solutions in production environments.
• Collaborate with software engineering and operations teams for deployment.
• Analyze complex datasets to extract actionable business insights.
• Maintain model monitoring and governance to ensure reliability.

Conocimientos

Python

NLP

Data analysis

ML deployment

MLOps

CI/CD

Git/Azure DevOps

Analytical thinking

Problem solving

Team collaboration

Educación

Bachelor's or Master's in CS/Engineering/Data Science

Herramientas

TensorFlow

PyTorch

Pandas

scikit-learn

Docker

Kubernetes

Azure

AWS

GCP

Git

Azure DevOps

Descripción del empleo

EY Global Delivery Services (GDS) is recruiting a Senior Data Scientist to design, train and deploy AI/ML models. You will work across NLP-rich projects, framing scalable solutions and collaborating with software engineering and operations teams.

The role requires 3+ years in data science, strong Python and ML framework skills, and practical MLOps experience. Expect exposure to Azure, AWS or GCP and a global, dynamic team.