GCP Data & AI Engineer: Pipelines, LLMs & Tokenization

Infoplus Technologies Uk Limited

Santiago de Compostela

Presencial

EUR 60.000 - 90.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a highly skilled Data & AI Engineer with extensive GCP experience to design and optimize robust data pipelines and AI workflows. The role focuses on data ingestion, tokenization, and deploying AI models into production using modern frameworks and tools.

You will bridge traditional data engineering with cutting-edge generative AI capabilities, implementing tokenization, and leveraging LLMs to drive practical business solutions across teams.

Formación

  • Experience with Google Cloud Platform (GCP).
  • Proficient in Python.
  • Experience with data ingestion and data tokenization.
  • Hands-on experience with Apache Airflow.
  • Experience deploying AI models into production.
  • GCP Certification is mandatory.

Responsabilidades

  • Design, build, and maintain scalable data pipelines and ingestion processes.
  • Implement data tokenization strategies to ensure data security and compliance.
  • Develop and optimize workflows using Apache Airflow.
  • Integrate LLMs into production environments, including designing and optimizing agentic workflows.
  • Apply prompt engineering techniques to improve model performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.

Conocimientos

GCP
BigQuery
Python
Data Ingestion
Airflow
LLMs
Prompt Engineering
Agentic Workflows

Herramientas

Looker

Descripción del empleo

Infoplus Technologies Uk Limited is seeking a highly skilled Data & AI Engineer with extensive GCP experience to design and optimize robust data pipelines and AI workflows. The role focuses on data ingestion, tokenization, and deploying AI models into production using modern frameworks and tools.

You will bridge traditional data engineering with cutting-edge generative AI capabilities, implementing tokenization, and leveraging LLMs to drive practical business solutions across teams.

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