Machine Learning Engineer - Computer Vision (3-6 yrs)

Responsibilities :

- Develop and optimize computer vision algorithms for tasks such as object detection, image classification, and segmentation.

- Implement and fine-tune deep learning models, including generative networks (e.g., GANs, VAE, Diffusion Models), using frameworks like TensorFlow or PyTorch.

- Analyze and integrate speech data with computer vision models for multi-modal applications.

- Collaborate with cross-functional teams to embed computer vision and generative solutions into products.

- Lead projects, mentor junior engineers, and stay updated with advancements in computer vision and generative modeling.

Requirements :

- 3+ 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 in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).

- Experience with speech data processing and its integration with computer vision models.

- Strong programming skills in Python and/or C++.

- Solid understanding of CNNs, object detection algorithms, image segmentation techniques, and generative models.

- Experience deploying models in production and working with cloud platforms is a plus.