Data Engineer for AI & LLM Innovation

Astek Middle East

Brussel Hoofdstad

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 6 jours
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Résumé du poste

Astek Belgium is seeking a Data Engineer – AI & LLM to join its Data & AI Community. You will work on innovative data and AI projects, building scalable data platforms and solutions based on Large Language Models and Generative AI.

You will ensure data quality, collaborate with AI/DS teams, and contribute to MLOps practices across client engagements. You will work in a dynamic, international tech group with continuous learning, knowledge sharing, and career development opportunities in Data

Qualifications

  • Proven experience as a Data Engineer with an interest in AI/LLMs.
  • Strong Python and SQL programming skills.
  • Experience building and maintaining data pipelines and processing solutions.
  • Knowledge of cloud environments such as Azure, AWS, GCP.

Responsabilités

  • Design, develop, and maintain scalable data pipelines and processing workflows.
  • Prepare, transform, and structure data to support AI/ML use cases.
  • Work on LLM-based solutions including embeddings and RAG architectures.
  • Integrate and manage data from multiple sources.
  • Develop and optimize data processing using cloud technologies.
  • Collaborate with Data Scientists, AI Engineers, and stakeholders to ensure data quality and reliability.
  • Contribute to best practices in Data Engineering, AI, and MLOps.

Connaissances

Data Engineer
Python
SQL
Cloud platforms
Data pipelines
LLMs
RAG
Airflow
Databricks

Outils

Azure
AWS
GCP
Spark

Description du poste

Astek Belgium is seeking a Data Engineer – AI & LLM to join its Data & AI Community. You will work on innovative data and AI projects, building scalable data platforms and solutions based on Large Language Models and Generative AI.

You will ensure data quality, collaborate with AI/DS teams, and contribute to MLOps practices across client engagements. You will work in a dynamic, international tech group with continuous learning, knowledge sharing, and career development opportunities in Data

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