AI Model Development
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About this service
Summary
What's included
Project Proposal
A detailed proposal outlining the scope, objectives, methodologies, and timelines of the AI/ML project.
Reworked Data / Cleaned
Collecting and preprocessing relevant data required for training the AI/ML models. This may include data cleaning, feature engineering, and data augmentation.
MVP for the Model
Building and training AI/ML models tailored to the client's specific needs. This involves selecting appropriate algorithms, fine-tuning model parameters, and optimizing performance.
Documentation
Documentation: Providing comprehensive documentation, including technical specifications, architecture diagrams, and explanations of the AI/ML models, algorithms, and methodologies used. This ensures transparency and ease of understanding for future reference.
Code Repository
Sharing a code repository containing the source code for the developed AI/ML models and any supporting scripts or tools used during the project.
The Model
Everything the clients may need to run the project with no problems.
Ongoing Support
Offering post-deployment support, such as bug fixing, model updates, and addressing any issues that may arise during the implementation or operational phases.
Skills and tools
ML Engineer
Software Engineer
Python
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