AI Solutions Engineer: ML, NLP & Pipelines

News Corporation

Barcelona

Presencial

EUR 45.000 - 60.000

Jornada completa

Hace 8 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Healthcare plans
30 days holidays/year
Remote work 3 months/year
Meal benefit
Retirement plan matching
Well-being resources
Family care benefits
Referral program

Descripción de la vacante

Dow Jones is seeking an AI Engineer/Solutions Specialist to join the Automation & Reporting team. You will design, build, and maintain AI solutions to automate workflows and enhance reporting across B2B Risk and Research teams.

You will lead data engineering, NLP, and cloud integration efforts, working with Python, SQL, and cloud services. This hybrid/remote role offers a competitive package and strong benefits.

Formación

  • Bachelor’s or Master’s degree in a quantitative field.
  • 3+ years in data science or applied ML with modeling and pipeline focus.
  • Strong programming in Python and ML libraries; experience with AI agents.

Responsabilidades

  • Design, deploy, and maintain ML models and LLM-based solutions to automate workflows.
  • Build and manage data pipelines for high-volume data processing and model training.
  • Collaborate cross-functionally to elicit requirements and translate problems into technical solutions.
  • Integrate AI solutions with AWS/GCP and external APIs for enrichment.
  • Document workflows and follow best practices for reproducibility and quality.

Conocimientos

Python programming
ML modeling
Data analysis
NLP & information retrieval
Communication
Problem solving

Educación

Bachelor’s or Master’s degree in quantitative field

Herramientas

scikit-learn
XGBoost
TensorFlow
PyTorch
LangChain
LlamaIndex
SQL
Git
Jupyter Notebooks

Descripción del empleo

Dow Jones is seeking an AI Engineer/Solutions Specialist to join the Automation & Reporting team. You will design, build, and maintain AI solutions to automate workflows and enhance reporting across B2B Risk and Research teams.

You will lead data engineering, NLP, and cloud integration efforts, working with Python, SQL, and cloud services. This hybrid/remote role offers a competitive package and strong benefits.

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