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Publié il y a 9 jours

Senior AI & ML Engineer - Permanent

Entreprise
Localisation
Paris, France
Hybride
Type de contrat
CDI
Niveau
Mid
Rémunération
60 000 - 90 000€• Salaire annuel

Salaire du marché

Médiane du marché
55k€
Au-dessus du marché
45k€fourchette habituelle55k€
Cette offre : 75k€

Basé sur 10 offres pour ce poste (Mid, Île-de-France, 3 dernières semaines). Fourchette habituelle 45k€–55k€, médiane 55k€. Cette offre (75k€) est au-dessus de la fourchette.

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Description du poste

Salary: €60,000–€90,000

Context

Quicksort helps organizations deploy reliable, custom, high-impact AI solutions quickly. The company designs internal AI agents that are secure and adapted to demanding industries such as finance, legal, and compliance. The team is composed of AI and machine learning experts who combine a rigorous scientific approach with lean methodology to deliver custom, reliable solutions directly operational in production.

Missions

  • Design and deploy autonomous AI agents that transform clients' business processes.
  • Develop and deploy ML and RAG pipelines into production.
  • Build conversational agents connected to large knowledge bases.
  • Create business process copilots for areas such as legal workflows and financial analysis.
  • Design and implement agentic workflows.
  • Deploy and manage models in cloud or on-premise environments, focusing on performance optimization and observability.
  • Contribute to R&D initiatives that enrich internal products and libraries, accelerating delivery across projects.

Tools & Environment

  • Python (excellent skills required)
  • Modern AI architectures, including transformers
  • ML pipelines from design to production
  • Large Language Model deployment and LLMOps ecosystem
  • Linux, Kubernetes, Docker
  • Pipeline evaluation and observability tools

Working Conditions

  • Location: Paris, France
  • Contract type: Permanent (CDI)
  • Experience required: 5+ years
  • Salary: €60,000–€90,000 based on profile

Exigences du poste

Stack technique :

PythonMachine LearningKubernetesTransformersRAG pipelinesLLMOps

Plan d'action

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