Redis server / client implementation

JOB SUMMARY

In need for Redis server / client implementation, along with Redis DB.
Should have handled large image datasets on REDIS (memory cache) and this being scalable over the cluster based architecture.

Additional preference:

Some image processing experience on OpenCV , Exposure to DL and CNN

Key skills:

REDIS on AWS, computer Vision, Django / Flask, Python and Node.js AWS Elasticache, Deploy DL models with Lambda and Tensorflow

Core scope:

REDIS on AWS, computer Vision, Django / Flask, Python and Node.js AWS Elasticache, Deploy DL models with Lambda and Tensorflow

RESPONSIBILITIES:

• Track record of implementing real-time computer vision systems on high-end servers like AWS cloud and as well as low-end single board computer

• Experience with scripting language – Python, Shell scripts

• REDIS cluster implementation / maintenance for high performance and linear scalability of nodes

• Server and cluster handling, Should have handled REDIS based datasets / datatypes, schema design, optimisation, query analysis, database administration and handle very large data volumes

• Exposure to NoSQL databases, PostgreSQL, MongoDB etc.

• Experience with feature rich, networked and in-memory cache handling

• Experience with CI, deploying, maintaining and troubleshooting applications on Linux/Unix platforms

• Exposure of different socket protocols and other low-level M2M communication protocols like MQTT, TCP, UDP

• Preferred knowledge in several of the following: semantic segmentation, object detection, 3D computer vision, tracking, multi-view geometry, localisation, visual-odometry

• Preferred knowledge in machine learning technology for computer vision and applying to practical, state-of-the-art systems

• Knowledge in KERAS REST API implementation is a plus

• Knowledge in Image Processing and Computer Vision is a plus

  • Drop files here or

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