AI Solutions Engineer — Workflow Automation (Remote)

Dow Jones; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Parental leave (20 weeks) and caregivе

Remote work up to 4 weeks per year

Volunteer day and wellness perks

Headspace wellness membership

Descripción de la vacante

Dow Jones is seeking an AI Solutions Specialist to join the Automation & Reporting team. You will design, construct, integrate and maintain AI Solutions into existing and new workflows to optimize processes across B2B Risk and Research teams.

You will leverage your expertise in statistical analysis and ML techniques to derive insights, deliver value through actionable outcomes, and collaborate with business, product, and engineering teams to translate requirements into technical solutions.

Formación

• Bachelor’s or Master’s degree in a quantitative field (CS/DS/Engineering).
• 3+ years of experience in a data science or applied ML role.
• Dual focus on modeling and pipeline development.

Responsabilidades

• Design, construct, integrate and maintain AI solutions into workflows.
• Develop ML models and LLM-based solutions to automate business workflows and enhance reporting.
• Build robust data pipelines for high-volume processing and model training.
• Collaborate with cross-functional teams to elicit requirements and translate them into technical solutions.
• Deploy models and automation tools using cloud services (AWS and GCP) and manage APIs.

Conocimientos

Python

SQL

Machine Learning

NLP

AWS

GCP

Educación

Bachelor’s or Master’s degree in a quantitative field

Herramientas

scikit-learn

XGBoost

TensorFlow

PyTorch

LangChain

LlamaIndex

Git

Descripción del empleo

Dow Jones is seeking an AI Solutions Specialist to join the Automation & Reporting team. You will design, construct, integrate and maintain AI Solutions into existing and new workflows to optimize processes across B2B Risk and Research teams.

You will leverage your expertise in statistical analysis and ML techniques to derive insights, deliver value through actionable outcomes, and collaborate with business, product, and engineering teams to translate requirements into technical solutions.