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We deploy, maintain, and manage all your machine learning life cycle – MLOps

Looking to buy an MLOps solutions?

Our Approach

Evaluate the type of machine learning blocks generated.
Evaluate the required scalability for operationalization
Evaluate the required level of automation
Evaluate the internal expertise when it comes to ML Operation
Evaluate the working environment of data scientists and data engineers

The high-level design of MLOps environment and validation
Test cases design
echnical review and validation of the design and architecture

The low-level design of MLOps environment
Implementation of the environment (staging/production)
Testing cases

Training of the identified resources on how to manage and use the environment
Final report with a roadmap

Deliverables

The following deliverables to be expected during and after our mandate:

The implementation of a variable environment in MLOp’s

MLOp’s training session

High level and low level design document

A report with recommendations and roadmap

Montreal

1275 Av. des Canadiens-de-Montréal,

Montréal, QC H3B 0G4

Canada

Los Angeles

312 Arizona Ave,

Santa Monica, CA 90401,

USA

Dubai

Gate Avenue Zone D at DIFC – Sheikh Zayed Road

Dubai, United Arab Emirates

Doha

1 Al Corniche St, Burj Doha, level 21,

Doha, Qatar

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Contact:

mlops@rocketscience.one

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