Onlano
AI / Machine LearningOnsite

Applied AI Engineer

BNP Paribas - Company

Nanterre, Hauts-de-Seine, ๐Ÿ‡ซ๐Ÿ‡ท FranceFull-time - Mid level (2-4 years)0 applicantsCloses Jun 20, 2026

Salary

CHECK DESCRIPTION

Apply for this job

Job description

Job details

  • Location: Nanterre, Hauts-de-Seine
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

BNP PARIBAS is hiring an Applied AI Engineer to join their Data & Analytics Corporate team in Nanterre, Hauts-de-Seine, France. This is a full-time, onsite position focused on computer vision and machine learning engineering. You will work within a specialized Computer Vision team of 5 permanent ML Engineers, 1 consultant ML Engineer, an Analytics Manager, and the ML Engineering manager. The team leverages a dedicated development and production platform (Domino Datalab) with on-demand environments (Anaconda, PyTorch) and hardware resources (CPUs, GPUs).

Job details

This role is based in Nanterre, Hauts-de-Seine, and is an onsite position. The employment type is full-time. Salary details are available in the employer description or upon application. As an Applied AI Engineer, you will contribute to building and deploying computer vision solutions within a leading global banking institution.

Responsibilities

  • Develop and deploy computer vision models using PyTorch and Python
  • Collaborate with a team of ML Engineers on AI solutions
  • Utilize Domino Datalab platform for model development and production
  • Optimize machine learning pipelines with CPU and GPU resources
  • Contribute to the Data & Analytics Corporate team initiatives

Requirements

  • 2-4 years of experience in applied AI or machine learning engineering
  • Strong proficiency in Python and PyTorch framework
  • Hands-on experience with computer vision projects
  • Familiarity with ML platforms and GPU computing
  • Ability to work collaboratively in a team environment

Benefits

  • Access to advanced ML infrastructure and GPU resources
  • Work with a specialized Computer Vision team
  • Professional development in AI and data analytics
  • Employment at a leading global financial institution

Keywords

Machine LearningComputer VisionPyTorchPythonAI EngineeringDeep LearningDomino DatalabGPU Computing