Applied AI Scientist — Agentic & Generative AI

Kyndryl; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Kyndryl in Madrid is seeking a hands-on AI/ML professional to contribute to agentic and generative AI initiatives, applying data-driven approaches in real client delivery and internal operations. You will collaborate with data scientists, engineers, and architects to build applied AI solutions, develop ML models, and participate across the solution lifecycle.

This role emphasizes practical delivery, cross-functional teamwork, documentation, and continuous learning in a hybrid, supportive

Formación

• 2+ years in data science, analytics, or ML projects.
• Strong Python and core data science libraries (Pandas, NumPy, Scikit-learn).
• Spanish native or high level and fluent English.

Responsabilidades

• Collaborate with data scientists, engineers, and architects on applied AI solutions.
• Develop, validate, and evolve ML models and LLM components for real business use cases.
• Participate across the solution lifecycle: data exploration, prototyping, validation, and improvement.
• Contribute to development of agents, analytical pipelines, and decision logic for practical delivery.

Conocimientos

Python

Pandas

NumPy

Scikit-learn

Matplotlib

XGBoost

LightGBM

TensorFlow

PyTorch

Data preprocessing

Spanish fluency

English fluency

Educación

Bachelor's degree in Computer Engineering

Bachelor's degree in Mathematics

Bachelor's degree in Data Science

Herramientas

ETL tools

SQL

Data visualization tools

Jupyter

Descripción del empleo

Kyndryl in Madrid is seeking a hands-on AI/ML professional to contribute to agentic and generative AI initiatives, applying data-driven approaches in real client delivery and internal operations. You will collaborate with data scientists, engineers, and architects to build applied AI solutions, develop ML models, and participate across the solution lifecycle.

This role emphasizes practical delivery, cross-functional teamwork, documentation, and continuous learning in a hybrid, supportive