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Learning And Development Coordinator Interview Questions

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1. Deploy an ML Model as a REST-API Of your choosing, please deploy a computer vision machine learning model as a rest- api. The API should be written in Python. The API should be able to accept an image/video and return the output as JSON. An example: You could deploy a face recognition model that takes an image and returns the co-ordinates of the bounding box(es) localizing the face(s). Requirements An API endpoint that accepts an image and returns a result as JSON. Package the API in a Docker image for deployment. Optional Unit tests A log of all POST requests with timestamps. Ideally, persisted in a database. The assignment should contain all the code required to run it locally. For example, be sure to include Dockerfiles. The code should also be accompanied by documentation. Also provide a brief summary of your approach and discuss potential improvements.
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Machine Learning Engineer

Interviewed at Clarius Mobile Health

4.1★
Nov 2, 2021

1. Deploy an ML Model as a REST-API Of your choosing, please deploy a computer vision machine learning model as a rest- api. The API should be written in Python. The API should be able to accept an image/video and return the output as JSON. An example: You could deploy a face recognition model that takes an image and returns the co-ordinates of the bounding box(es) localizing the face(s). Requirements An API endpoint that accepts an image and returns a result as JSON. Package the API in a Docker image for deployment. Optional Unit tests A log of all POST requests with timestamps. Ideally, persisted in a database. The assignment should contain all the code required to run it locally. For example, be sure to include Dockerfiles. The code should also be accompanied by documentation. Also provide a brief summary of your approach and discuss potential improvements.

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