AI Engineer: Production ML & NLP Solutions

Sageoutfitters

Vlaanderen

Sur place

EUR 70 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV personnalisé et une lettre de motivation qui correspondent directement à l’offre.

Passez les filtres ATS

Avantages offerts par ce poste

Mobility options incl. company car
Insurance coverage
Meal vouchers

Résumé du poste

Sopra Steria is seeking an AI Engineer to join the Data & AI team. You will design, build and industrialize AI solutions that solve concrete business problems and can be used in real operational environments.

You will train, fine-tune and deploy ML/AI models, writing production-ready Python code for online, batch and real-time use cases. Collaborating with Data Scientists, MLOps Engineers, Data Engineers and AI Architects, you will help deliver AI use cases from concept to production and

Qualifications

  • At least 3 years of experience in Machine Learning/AI-related roles (ML Engineer, Data Scientist, MLOps).
  • Experience with NLP, LLMs, and conversational AI in production.
  • Experience with vector databases and RAG in production.
  • Strong software engineering background; write production-ready Python code.

Responsabilités

  • Design, build and industrialize AI solutions for real operational environments.
  • Train, fine-tune and deploy ML/AI models.
  • Collaborate with Data Scientists, MLOps Engineers and AI Architects to integrate components.
  • Support clients on operating and improving solutions over medium to long term.

Connaissances

Machine Learning
NLP & LLMs
Python production
MLOps
Vector databases
Cloud platforms
DevOps
Experiment tracking
English fluency
Dutch/French

Formation

Master's or PhD in ML/AI/CE

Outils

Python
LLM frameworks
Docker
Kubernetes

Description du poste

Sopra Steria is seeking an AI Engineer to join the Data & AI team. You will design, build and industrialize AI solutions that solve concrete business problems and can be used in real operational environments.

You will train, fine-tune and deploy ML/AI models, writing production-ready Python code for online, batch and real-time use cases. Collaborating with Data Scientists, MLOps Engineers, Data Engineers and AI Architects, you will help deliver AI use cases from concept to production and

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