Machine Learning and Data Engineering
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About this service
Summary
Pragmatic engineering: understand the specifics of your use case, adapt, and simplify the most suitable technology to be turned into a functional, robust, and secure product, iteratively, and as soon as possible.
Process
Understand the specifics of your use case
Adapt and simplify the most suitable technology to your use case
Define resources, work plan, and iterations
A functional, robust, secure working product at the end of each iteration.
What's included
Iterative product delivery
A work plan and a functional working product at the end of each iteration
Skills and tools
ML Engineer
AI Model Developer
AI Developer
Python
PyTorch
scikit-learn
TensorFlow
Variational Autoencoders (VAEs)
Industries
FinTech
Artificial Intelligence (AI)
Cryptocurrency
Work with me