Machine Learning Engineer
5 days ago
Responsibilities
- Create generative networks ground up, which may include building on GANs, VAEs, Diffusion, Transformers, etc.
- Optimize, adapt, or fine-tune existing computer vision algorithms for various tasks like transfer learning, object re-identification, monocular depth estimation, etc.
- Implement/Adapt existing Joint learning paradigms involving speech and video data.
- Collaborate with the ML engineering team to deploy trained models into the application layer.
- Lead projects, mentor junior researchers, and stay updated with the advancements in computer vision, especially generative solutions.
Requirements
- 4+ years of experience in machine learning and computer vision, with a focus on generative networks.
- Advanced degree in Computer Science, Electrical Engineering, or a related field.
- Proficiency with deep learning framework (PyTorch).
- Experience with image/speech data processing and augmentation techniques.
- Strong programming skills in Python(must have) and C++(optional).
- Deep understanding of CNNs, VAEs, GANs, etc.
- Experience in building production quality. (Working with cloud platforms is a plus. )
This job was posted by Subrina Ahoy Lai from NeuralGarage.
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