AI Engineer — Production ML, NLP & Data Pipelines

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

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.