Description

Data Collection: Identify and Collect data from various web sources via web scraping for model training purpose. Data Organization: Filter the obtained, clean it and prepare it for model training. Model Prototyping: Theorize, search and code the model architectures relevant to specific problem at hand. Model Training: Define network architecture and write the corresponding utility functions for training the model. Metric Definition: Create a metric to evaluate the model based on the provided problem statement. Model Testing: Test the trained mode using this defined metric. Preferred Skills: Model Deployment: Compile the model into functional application code for deployment. Containerization: Create containers for the developed model to create an end-to-end pipeline. Cloud Computing: Knowledge of cloud services such as AWS EC2, AWS S3, AWS SageMaker. Required Knowledge: CNN Based Architectures: LeNet, AlexNet, ZF Net, VGGNet, ResNet, MobileNets, InceptionNet Segmentation Based Models: Fully Convolutional Network (FCN), U-Net, Faster RCNN, Mask RCNN. Perks and Benefits - 5 Days working. Certificate of Excellence. Reference letter.

Role and Responsibilities

• Data Collection: Identify and Collect data from various web sources via web scraping for model training purpose. Data Organization: Filter the obtained, clean it and prepare it for model training. Model Prototyping: Theorize, search and code the model architectures relevant to specific problem at hand. Model Training: Define network architecture and write the corresponding utility functions for training the model. Metric Definition: Create a metric to evaluate the model based on the provided problem statement. Model Testing: Test the trained mode using this defined metric. Preferred Skills: Model Deployment: Compile the model into functional application code for deployment. Containerization: Create containers for the developed model to create an end-to-end pipeline. Cloud Computing: Knowledge of cloud services such as AWS EC2, AWS S3, AWS SageMaker. Required Knowledge: CNN Based Architectures: LeNet, AlexNet, ZF Net, VGGNet, ResNet, MobileNets, InceptionNet Segmentation Based Models: Fully Convolutional Network (FCN), U-Net, Faster RCNN, Mask RCNN. Perks and Benefits - 5 Days working. Certificate of Excellence. Reference letter.