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Software Engineer - Machine Learning & Deep Learning at Samsung
Samsung
Bangalore, Karnataka
Post Date: May 10, 2023
Full Time
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Job Description
Responsibilities
:
Work with machine learning / deep learning experts to design and implement networks optimised for CPU/GPU-accelerated inference
Develop advanced inference engine techniques to enable real-time deployment of models
Deploy productized networks to run efficiently on our hardware (edge based, cloud based, server based)
Actively involved in MLOps operations of the deployed model.
Develop tools for profiling, analysing, and improving both training and inference performance
Requirements:
A minimum of 4 years of relevant experience in a similar role
Bachelor of Engineering (BTECH / BE) or Masters (MTECH / MS / MCA) in Computer Science / Information Science or Ph. D in Computer Science
Excellent in machine learning and deep learning concepts
Data understanding and analysis
Preprocessing and dimensionality reduction techniques
Supervised / Unsupervised / semi-supervised learning
CNN family architectures
RNN family architectures
Auto encoders
GAN and Transformers
Excellent in Python programming
Should have good understanding in software design skills
Intimate understanding and hands on experience of using machine learning and deep learning libraries
Proven GPU programming (e. g., CUDA, OpenCL) track record
Should have understanding of unit testing and its test report generation
Good coding documentation skills
Good knowledge on problem solving, data structure and Algorithms
Good communication skills to communicate ideas and issues to the team
Code contributions to an open-source deep learning community
Experience using GPU-accelerated libraries (e. g., cuDNN and cuBLAS)
Experience with code generation & optimisation
Experience with network model compression and quantisation
Exposure to TensorRT kinds of tool for DL implementation
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