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JOB POST: ML Engineer at Samsung, Bangalore: Apply Now!

Samsung is inviting applications from eligible candidates for the post of ML Engineer for its Bangalore location.

About Samsung

The Samsung Group is a South Korean multinational manufacturing conglomerate headquartered in Samsung Town, Seoul, South Korea.

Summary of Position

  • Explore areas to apply machine learning technology, develop measures on collecting data used for model learning and evaluation and collect data.
  • Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
  • Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

Roles and Responsibilities

  • Deep Learning in CV domain as part of STRIDE (OCR Engine) Project
  • On Device text detection and extraction, end to end OCR engine
  • Advanced Python Programming and Hands on experience in DL Model design and training
  • Hands on development of DL models using Tensorflow/Keras. Knowledge of Pytorch is an added advantage
  • Experience in Image Processing using OpenCV
  • Experiment and suggest various metrics, optimizers, loss functions for a ML model suitable to the task at hand
  • Analyzing the errors/failure cases of the model and designing strategies to overcome them
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Working with large scale and real world datasets
  • Model pruning, compression and optimization techniques and experience on mobile deployment of AI models
  • Thirst for innovation, aware of latest research in CV domain, curious to come up with novel/differential solutions (enhance user experience, improve performance, etc.)

Skills and Qualifications

  • Crack to learn Cutting edge Computer Vision and use of Deep Learning models.
  • Image processing
  • Vision based DL models understanding and keen to learn about SOTA architectures and implement them
  • On device understanding of ML Model

How to Apply?

Interested applicants can apply for the post through this link.



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