Upwork is hiring a Build a Proposal Summarization Model (Very long document)

Project Description:

We require a talented individual to create an advanced text summarization model that can effectively summarize lengthy documents, proposals, research papers, and other extended texts. The ideal candidate should possess a strong background in natural language processing (NLP) and machine learning, along with extensive experience in developing and fine-tuning neural network models.

Key Deliverables:

Develop a state-of-the-art text summarization model that can handle lengthy documents, maintaining coherence and context in the summaries.

Implement the model in a user-friendly interface or API, allowing easy integration into our existing systems or applications.

Fine-tune and optimize the model using a diverse dataset to ensure accuracy, generalization, and robust performance across different domains.

Conduct rigorous testing and validation to measure the model's performance against various metrics, such as ROUGE and BLEU scores.

Provide comprehensive documentation detailing the model architecture, training process, and usage instructions.

Skills and Qualifications:

Proven expertise in natural language processing (NLP) and machine learning, particularly in text summarization and sequence-to-sequence models.

Proficiency in Python and popular libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.

Strong understanding of deep learning architectures, attention mechanisms, and transformer-based models.

Experience with large-scale dataset preparation and pre-processing techniques for training NLP models.

Knowledge of evaluation metrics for text summarization and the ability to fine-tune models for optimal performance.

Ability to troubleshoot and debug code effectively and efficiently.

Excellent communication skills and the ability to collaborate with our team to refine project requirements and provide regular updates.