Data Scientist
shine
Job Description
- Key Responsibilities: Data Analysis and Modeling
- Conduct exploratory data analysis to understand and summarize document data patterns.
- Develop and implement machine learning models to solve complex business problems.
- Build and optimize deep learning models for document processing applications.
- Develop NLP solutions for text classification, data extraction extractive and abstractive.
- Work with large-scale datasets to extract meaningful insights from text data.
- Implement and fine-tune NLP models using state-of-the-art techniques specifically for document understanding.
- Good to have knowledge in sequence-to-sequence models or transformer-based models for text extraction tasks.
- Design and implement deep learning models for various document processing tasks.
- Utilize techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.
- Optimize model performance through hyperparameter tuning and model architecture experimentation.
- Design and develop generative models for various dimensions such as data generation, synthesis and augmentation.
- Experiment with and implement advanced GenAI techniques to enhance existing solutions
- Experience with on-prem models such as Claude, Mistral and cloud models OpenAI.
- Parallel development and integration of CMR+ GenAI APIs (3 APIs- Training, Ingestion, Inference)