Georgia State University Department of Health Sciences

Engineering Manager – Computer Vision

Georgia State University Department of Health Sciences

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

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Tech Stack

CloudPythonPyTorchTensorflow

About the role

  • Lead the development and production deployment of computer vision models (detection, tracking, multimodal vision).
  • Ensure technical excellence across the full model lifecycle: data, training, evaluation, cloud and edge deployment.
  • Design and evolve the technical architecture of CV systems (vision stack, ML infrastructure, pipelines).
  • Coach, mentor, and support team members’ growth (1:1s, feedback, mentoring).
  • Work closely with the Head of AI and product teams to align technical vision with business goals.
  • Establish and maintain best practices: code quality, ML CI/CD, MLOps, monitoring, documentation.
  • Actively contribute to technology choices and stay up to date with advances in applied computer vision and AI.

Requirements

  • Strong expertise in applied computer vision, with hands-on production experience.
  • Excellent knowledge of Python and software engineering best practices.
  • Strong proficiency with PyTorch (or TensorFlow).
  • Solid experience with detection and tracking models (YOLO, R-CNN, DeepSORT, etc.).
  • Strong foundations in MLOps: pipelines, monitoring, versioning, deployment.
  • Ability to own and arbitrate complex technical topics at the product level.
Benefits
  • Hybrid work
  • “Contrat cadre” and RTT (between 8-12 per year depending on the number of public holidays in the current year)
  • A Mac or PC depending on your preferences
  • BSPCE
  • 60% coverage of meal vouchers worth €9 per worked day
  • Sustainable mobility allowance
  • Mutuelle (Alan)
  • Offices located in central Paris (9th arrondissement)
  • Annual offsite with the whole team and plenty of company events
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
computer visionPythonPyTorchTensorFlowMLOpsdetection modelstracking modelsYOLOR-CNNDeepSORT
Soft Skills
coachingmentoringteam supporttechnical excellencecommunicationfeedbackalignment with business goals