AI Engineer

Dow Jones; Barcelona; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An international news organization is seeking an AI Engineer to enhance automation and reporting by building and maintaining machine learning models. The ideal candidate will have strong programming skills in Python, experience with cloud services like AWS, and a solid understanding of data science principles. You will collaborate with teams to develop technical ML solutions, optimize data processes, and ensure effective model deployment. This role includes competitive benefits and a hybrid work model.

Servicios

Comprehensive Healthcare Plans

30 vacation days per year

Meal benefit (€171/month)

Retirement Plans (2% company contribution)

Well-being Resources ($200 per quarter)

Family Care Benefits

Subscription Discounts

Employee Referral Program

Formación

• 3+ years of experience in a data science or applied ML role focusing on modeling and pipeline development.
• Hands-on experience with cloud infrastructure, especially AWS.
• Familiarity with version control (Git) and reproducible workflows.

Responsabilidades

• Own the development, deployment, and maintenance of ML models.
• Build and maintain data pipelines for high-volume data processing.
• Collaborate cross-functionally to integrate models into workflows.

Conocimientos

Machine learning model development

Data analysis and optimization

Strong programming skills in Python

SQL query optimization

Experience with cloud services (AWS, GCP)

NLP and information retrieval

APIs usage (including LLM APIs)

Educación

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Herramientas

AWS

SQL

Machine learning libraries (scikit-learn, TensorFlow, etc.)

Descripción del empleo

Job Description

Dow Jones is looking for an AI Engineer to join our Automation & Reporting team. You will design, construct, integrate and maintain AI Solutions into the existing and new workflows to optimize processes across our B2B Risk and Research teams. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization’s needs, and deliver tangible value through actionable outcomes. You will report to the Director, Automation & Reporting.

You Will

• Own the development, deployment, and maintenance of machine learning models that automate business workflows and enhance reporting capabilities.
• Build and maintain data pipelines that support high-volume data processing, enrichment, and model training using Python, SQL, and cloud services.
• Work with stakeholders to define business problems and translate them into well-scoped, technical ML solutions.
• Analyze and clean large datasets to optimize reusable ML models.
• Apply NLP and information retrieval techniques to extract structured information from unstructured text content.
• Leverage APIs (including LLM APIs) for data enrichment, preprocessing, or model integration where appropriate.
• Deploy models and automation tools using cloud-based services (AWS and GCP).
• Document workflows, validate results, and follow best practices for model performance, versioning, and reproducibility.
• Collaborate cross-functionally with business, product, and engineering teams to integrate models into production workflows.

You Have

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related STEM field or equivalent work experience.
• 3+ years of experience in a data science or applied ML role with a focus on both modeling and pipeline development.
• Programming skills in Python and experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch).
• Experience writing and optimizing SQL queries and handling large datasets.
• Hands‑on experience with cloud infrastructure (preferably AWS), including tools like S3, Glue, Lambda, and Athena.
• Experience working with APIs, including LLM APIs or external data sources.
• Familiarity with version control (Git) and reproducible workflows (e.g., notebooks, scripts, containers).
• Strong problem‑solving skills, attention to detail, and the ability to communicate technical results to non‑technical audiences.

Our Benefits

• Comprehensive Healthcare Plans
• 30 vacation days per year
• Meal benefit with Pluxee (€171/month)
• Retirement Plans (Dow Jones will pay 2% of a member's Pensionable Salary and match employee contribution up to a maximum of 3%)
• Well‑being Resources ($200 per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program

#LI-hybrid

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area: Dow Jones - Data & AI

Job Category: Data Analytics/Warehousing & Business Intelligence

Union Status: Non-Union role