Position Details
About this role
This role involves developing and optimizing AI/ML models, particularly neural networks, for business solutions with a focus on edge deployment and computer vision.
Key Responsibilities
- Develop neural network models
- Optimize models for edge devices
- Implement transfer learning
- Work with computer vision models
- Full ML lifecycle management
Technical Overview
The technical environment includes deep learning frameworks like TensorFlow, PyTorch, Keras, and deployment on edge devices such as Nvidia Jetson and Raspberry Pi.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 2+ years of experience in deep learning frameworks, neural network modeling, and edge AI deployment. They possess strong coding skills in Python and experience with computer vision models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with deep learning frameworks, No experience with neural networks or computer vision, Unable to work independently, No experience with edge AI hardware
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile