Python AI Engineer & AI Workshop Lead

BE001 ONEPOINT SA

Brussel Hoofdstad

Sur place

EUR 60 000 - 90 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Onepoint in Belgium is seeking a Python-focused engineer with 3–5 years of hands-on development experience in AI/LLM and data-driven use cases. You will design modular Python components, build data pipelines, and lead AI workshops for cross-functional teams.

Collaborating with business and IT stakeholders, you will translate requirements into technical use cases and prototypes, while aligning roadmaps and best practices across the organization.

Qualifications

  • 3–5 years of hands-on Python development
  • Solid understanding of AI/ML concepts and LLMs
  • Experience building data pipelines and querying SQL
  • Good development practices: Git, testing, containerization (Docker), CI/CD
  • Professional fluency in English (written and spoken)
  • Strong stakeholder skills to gather business requirements with IT teams

Responsabilités

  • Design and build robust Python components for AI/LLM and data-driven use cases
  • Lead and facilitate AI workshops for tech teams and explain AI concepts
  • Engage with business stakeholders to collect requirements and formalize use cases
  • Build prototypes/PoCs for LLMs and data pipelines
  • Collaborate with business and IT to align roadmaps and priorities
  • Contribute to architecture, testing, and monitoring practices
  • Explore related applications including light blockchain components when relevant

Connaissances

Python development
AI/ML concepts
Data pipelines
Git & CI/CD
SQL & data querying
Stakeholder management

Outils

Docker
CI/CD tooling

Description du poste

Onepoint in Belgium is seeking a Python-focused engineer with 3–5 years of hands-on development experience in AI/LLM and data-driven use cases. You will design modular Python components, build data pipelines, and lead AI workshops for cross-functional teams.

Collaborating with business and IT stakeholders, you will translate requirements into technical use cases and prototypes, while aligning roadmaps and best practices across the organization.

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