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Machine Learning / Embedded System Developer

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Machine Learning (ML) Engineer

Bachelor’s degree or equivalent in Computer Science/Computer Engineering/Electrical Engineering from HEC recognized university with at least 1-year experience in the relevant field.
Understanding of Neural Networks and Deep/Convolutional Neural Networks
Ability to write code in Python, MATLAB and C/C++.
Proficient with Machine Learning Framework (TensorFlow, Keras, etc.)
Outstanding skills in Machine Learning, statistics and programing.
Knowledge of Embedded system and Embedded Hardware.

Responsibilities

Study of Research Papers about Machine Learning Model
Understanding of Current implementation of statistical model
Design of Data Collection System.
Processing, cleansing, and verifying the integrity of data used for analysis.re
Video Analytics on Collected Data.
Training of ML system according to requirement.
Implementation of Training Model on Embedded System.
Design and implement embedded devices and systems from requirements to production and commercial deployment
Literature review of different algorithms and research publications
Design, develop, code, test and debug system software and hardware
Rapid prototyping on breadboards/veroboards
Procurement of electronic components from local and online sources
Maintain project documentation
Collaborate with software and hardware design teams
Review code and design
Review electronic designs
Analyze and enhance efficiency, stability and scalability of system resources
Designing technical interface of communication for visibility of client on projects