Train LipNet on 33k Videos

I'm looking for a skilled machine learning engineer to help train a LipNet model on a larger dataset of 33,000 videos.

Key Requirements:
- Use provided code for a working model that currently trains on 1,000 videos.
- Train the model on the expanded dataset of 33,000 videos.
- Generate relevant graphs:
- Accuracy over time
- Loss over time
- Custom metric graphs
- Extract and display important custom metrics:
- Precision and recall
- Confusion matrix
- Save the model every epoch during training

Ideal Skills and Experience:
- Strong background in deep learning, specifically with video data
- Experience with LipNet or similar models
- Proficiency in generating and interpreting training graphs and metrics
- Familiarity with model training and saving protocols

Please provide relevant experience in your bids.