Senior Data Scientist & AI Solutions Architect

Tamarind Intelligence; Madrid; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

EY Global Delivery Services (GDS) in Madrid seeks a Senior Data Scientist consultant to design and implement cutting-edge AI models, focusing on NLP, GenAI, and MLOps. You will collaborate with cross-functional teams to translate complex business needs into scalable AI solutions, with strong Python, ML frameworks, and cloud deployment skills.

The ideal candidate has 3+ years in data science, a solid foundation in ML theory, data analysis, and experience building production-ready models in cloud

Formación

• 3+ years in Data Science and AI, applying ML and AI solutions in production environments.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, Pandas, or Scikit-Learn; capable of end-to-end model development.
• Strong understanding of NLP techniques, tokenization, embeddings, and string similarity; selection of ML approaches with solid math foundation.
• Skilled at analyzing complex datasets to extract actionable insights for business decisions.
• Hands-on experience with MLOps, CI/CD pipelines, model monitoring, and versioning using Git or Azure DevOps.
• Experience deploying AI/ML models on cloud platforms like Azure, AWS, or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

Conocimientos

Python

NLP

TensorFlow

PyTorch

Pandas

Scikit-Learn

ML Ops

CI/CD

Git

Azure

AWS

GCP

Data Analysis

Educación

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

Herramientas

LangChain

LangGraph

AutoGen

Semantic Kernel

Docker

Kubernetes

Descripción del empleo

EY Global Delivery Services (GDS) in Madrid seeks a Senior Data Scientist consultant to design and implement cutting-edge AI models, focusing on NLP, GenAI, and MLOps. You will collaborate with cross-functional teams to translate complex business needs into scalable AI solutions, with strong Python, ML frameworks, and cloud deployment skills.

The ideal candidate has 3+ years in data science, a solid foundation in ML theory, data analysis, and experience building production-ready models in cloud