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Edge AI ML Research Engineer: Distill & Track Vision Models
Summary by AIEngineer.careers
Edge AI ML Research Engineer: Distill & Track Vision Models is a Machine Learning Research Engineer role (full-time). with Harmattan AI. in PARIS, FR. Imported listing (source: demploi.fr). Apply on the employer's site (demploi.fr).
Imported listing (source: demploi.fr) · Apply on demploi.fr
PARIS · FR
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from demploi.fr
Harmattan AI is seeking an Edge AI ML Research Engineer in Paris to focus on model distillation, edge optimization, and MLOps pipelines for autonomous defense systems. The role involves distilling large foundation models into compact components for deployment on edge devices. You will work on tracking vision models and optimizing them for real-time performance in defense applications.
Responsibilities
- Research and implement model distillation techniques to compress large foundation models
- Optimize vision models for edge deployment, focusing on latency and resource constraints
- Build and maintain MLOps pipelines for continuous training and deployment
- Collaborate with cross-functional teams to integrate models into autonomous defense systems
- Stay updated with the latest advancements in edge AI and computer vision
Requirements
- Master's or PhD in Computer Science, Machine Learning, or related field
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow
- Proven track record in model compression, distillation, or edge optimization
- Familiarity with MLOps tools and practices
- Experience with computer vision tasks, especially object tracking
Harmattan AI
Paris · FR · 238+ employees
Harmattan AI is a Paris-based defense and space manufacturing company. It develops autonomous robotic forces intended to coordinate and operate across the full spectrum of military operations.
