AI Solutions Specialist - Automate & Optimize Workflows

Dow Jones; Barcelona; Presencial; EUR 45.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plans

Remote work option

Meal benefit

Descripción de la vacante

Dow Jones is seeking an AI Solutions Specialist to join the Automation & Reporting team in Barcelona. You will design, build, and maintain AI solutions to optimize workflows, leveraging ML and NLP techniques and integrating with cloud services.

You will work across data science, data engineering and product teams, deploying models, automating processes, and ensuring reproducible results. A strong Python background and experience with ML libraries are required.

Formación

• Bachelor’s or Master’s degree in a quantitative field (CS/DS/Engineering or related STEM).
• 3+ years of data science or applied ML with focus on modeling and pipeline development.
• Proficiency in Python and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience deploying AI agents and handling SQL for large datasets; version control with Git.

Responsabilidades

• Own development, deployment, and maintenance of ML models and LLM-based solutions for automated workflows.
• Build and maintain robust data pipelines for high-volume data processing and model training.
• Collaborate with business, product, and engineering teams to translate requirements into technical solutions.
• Deploy models using cloud services (AWS, GCP) and integrate external APIs.

Conocimientos

Python

SQL

Machine Learning

NLP

LangChain

LlamaIndex

Git

TensorFlow

PyTorch

Educación

Bachelor’s or Master’s degree in Computer Science/Data Science/Engineering

Herramientas

AWS

GCP

S3

Glue

Lambda

Athena

Descripción del empleo

Dow Jones is seeking an AI Solutions Specialist to join the Automation & Reporting team in Barcelona. You will design, build, and maintain AI solutions to optimize workflows, leveraging ML and NLP techniques and integrating with cloud services.

You will work across data science, data engineering and product teams, deploying models, automating processes, and ensuring reproducible results. A strong Python background and experience with ML libraries are required.