AI Engineer & Automation Solutions Architect

Dow Jones; Barcelona; Híbrido; EUR 40.000 - 53.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive Healthcare Plans for you

Extra paid Time Off (30 days)

Remote work up to 3 months/year

Meal benefit with Pluxee

Retirement Plans with company match

Well-being resources

Family care benefits

Subscription discounts

Employee Referral Program

#LI-Hybrid

Descripción de la vacante

Dow Jones is seeking an AI Engineer/Solutions Specialist in Barcelona to design, deploy, and maintain ML models and LLM-based solutions that automate workflows and enhance reporting. You will build data pipelines, apply NLP techniques, and integrate AI with cloud services.

Requirements include 3+ years in data science, strong Python and ML library experience, and familiarity with AWS/GCP, Git, and reproducible workflows. Hybrid, with optional remote work as described in benefits.

Formación

• 3+ years in data science or applied ML with focus on modeling and pipelines.
• Strong Python programing and ML libraries experience.
• Experience deploying AI agents to automate workflows.

Responsabilidades

• Own design, deployment, and maintenance of ML models and LLM-based solutions.
• Build and maintain robust data pipelines for high-volume processing.
• Collaborate with business, product, and engineering teams to translate requirements.
• Integrate external APIs and deploy models on AWS/GCP.
• Document workflows and ensure reproducible, high-standard practices.

Conocimientos

Python

ML libraries

NLP

LLM/AI agents

SQL

Git & reproducible workflows

Cloud (AWS/GCP)

Data pipelines

Educación

Bachelor's or Master's in CS/DS/Engineering

Herramientas

AWS

S3

Glue

Lambda

Athena

LangChain

LlamaIndex

Descripción del empleo

Dow Jones is seeking an AI Engineer/Solutions Specialist in Barcelona to design, deploy, and maintain ML models and LLM-based solutions that automate workflows and enhance reporting. You will build data pipelines, apply NLP techniques, and integrate AI with cloud services.

Requirements include 3+ years in data science, strong Python and ML library experience, and familiarity with AWS/GCP, Git, and reproducible workflows. Hybrid, with optional remote work as described in benefits.