Description
Client wants to implement machine learning projects across their organization to drive tangible business benefits and become a data-driven organization. The data for all these machine learning projects are stored across a plethora of systems like CRM, ERP, other databases and even flat files. Client has identified Microsoft Azure platform (AML Studio, DSVM, ML server, etc.) platform for the implementation of machine learning projects. Currently, for the implementation of ML projects on Azure, data from different sources are ported to the data store (on MS SQL server) from which AML Studio can pull the data and implement algorithms. Although such a configuration works well for production scenarios, there are certain limitations during model development.
Objective of Study
In the long run, the client wants to execute Machine Learning projects in an easy and agile manner. They need a study done, to make recommendations on:
Tool/s (and their respective configuration), within the Microsoft machine learning ecosystem, which will enable Client to implement ML projects. The tool should have the following capabilities:
a. Tool/s should enable execution of end to end ML projects from Data Exploration to model development, debugging and production
b. Tool/s should be able to implement ML projects on different kinds of data
i. Structured
ii. Unstructured - Text
iii. Images
c. Tool/s should be able to handle large volumes of data and execute ML projects in an efficient time-bound manner
The study will assume that the ML tool/s will access data directly from a virtualization layer to be enabled by Denodo
What we need help with:
We would need the help of a consultant who would be able to provide the above mentioned recommendations.
The partner would need to have the following expertise:
1. Understanding the different phases and requirements of a machine learning project and the corresponding tool requirements to support the same
2. Deep understanding of Microsoft's Azure eco-system, including (but not limited to) different tools and their configurations, inter-operability with other data systems
3. Prior expertise on implementation or supporting implementation of enterprise grade data processing and machine learning execution systems
Location: Madrid, Spain
Daily Rate - 700 EUR
If you are interested please get in contact ASAP as my client is looking to interview immediately