AI Solutions Engineer — Automate Workflows (Remote)

Storyful

Barcelona

Híbrido

EUR 45.000 - 60.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Remote work options
Meal benefit

Descripción de la vacante

Dow Jones is seeking an AI Engineer/Solutions Specialist to design, implement, and maintain AI solutions that automate workflows and enhance reporting. You will build ML models, leverage NLP techniques, and create robust data pipelines in Python, SQL, and cloud services.

You will collaborate with product and engineering teams to translate business problems into technical solutions and deploy AI agents across platforms, with strong emphasis on quality, reproducibility, and scalability.

Formación

  • 3+ years in data science or applied ML with modeling and pipeline development.
  • Strong Python programming with ML libraries and AI frameworks.
  • Experience deploying AI agents and building end-to-end solutions.

Responsabilidades

  • Own development, deployment, and maintenance of ML models and LLM solutions.
  • Build and maintain data pipelines for high-volume processing and training.
  • Collaborate with business, product, and engineering teams to define problems.
  • Integrate external APIs and deploy workloads in AWS/GCP cloud.
  • Document workflows and ensure reproducible results and quality.

Conocimientos

Python
ML
SQL
Git
LangChain
LlamaIndex
LLM APIs
AWS
GCP
NLP

Educación

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

Herramientas

scikit-learn
XGBoost
TensorFlow
PyTorch

Descripción del empleo

Dow Jones is seeking an AI Engineer/Solutions Specialist to design, implement, and maintain AI solutions that automate workflows and enhance reporting. You will build ML models, leverage NLP techniques, and create robust data pipelines in Python, SQL, and cloud services.

You will collaborate with product and engineering teams to translate business problems into technical solutions and deploy AI agents across platforms, with strong emphasis on quality, reproducibility, and scalability.

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