Develop and optimize computer vision and multimodal models.
Design advanced model architectures for visual understanding tasks.
Create robust evaluation frameworks and testing methodologies.
Lead ML projects; drive architectural decisions and cross-functional collaboration.
Build scalable training pipelines for production ML systems.
Collaborate with product and infrastructure teams to deliver production-ready solutions.

🎯 Requirements

MS or PhD in CS/Engineering/Math or related field.
5+ years ML/AI experience.
Proven CV models shipped to production.
Deep expertise in computer vision and deep learning.
Proficient in Python and PyTorch.
Experience with cloud platforms and MLOps; strong pipelines.

🎁 Benefits

Work from home, remotely, or hybrid
Partial compensation for glasses and lenses
Private health insurance
Volunteering Time Off (2 days/ year)
SZÉP Card for recreational activities
Flexible working hours

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