Deep Learning Engineer

3 weeks ago


Bhubaneshwar, India Talent Socio Full time

Responsibilities :

- Design and implement deep learning models for image, video, object detection, and audio classification tasks.


- Apply and fine-tune CNN-based architectures and Vision Transformers (e. g., ViT, Swin).


- Integrate attention mechanisms (e. g., SE, CBAM, Transformer attention) into model architectures for enhanced feature learning.


- Utilize pretrained models for transfer learning and multi-task learning.


- Work with video data using spatio-temporal modeling techniques (e. g., 3D CNNs, temporal attention).


- Extract and process features from audio using spectrograms, MFCCs, or learned embeddings.


- Evaluate and optimize models for speed, accuracy, and robustness.


- Collaborate across teams to deploy models into production.


Requirements :

- Strong programming skills in Python, with experience in PyTorch or TensorFlow.


- Hands-on experience with CNNs, pretrained networks, and attention modules.


- Solid knowledge of Vision Transformers, including recent architectures (e. g., Swin, DeiT).


- Understanding of attention mechanisms (self-attention, cross-attention, squeeze-and-excitation, etc. ).


- Experience implementing and training object detection models (YOLO, SSD, Faster R-CNN, Retina Net, DETR).


- Experience in video analysis and temporal modelling.


- Strong grasp of audio classification workflows and features.


- Experience handling large-scale datasets and designing data pipelines.


(ref:hirist.tech)
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