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Table of contents
1.
Introduction
2.
About Samsung😀
3.
Role and Responsibilities👩‍💻
3.1.
Data engineering subtasks
3.2.
Modeling subtasks 
3.3.
Deployment subtasks 
4.
Salary💰 
5.
Flexible timings ⏰
6.
Promotion📈
7.
Skills Requirement🧠💡
7.1.
A programming language suitable for Deep Learning
7.2.
Mathematics for Machine Learning
7.3.
Computer Science Fundamentals and Data Structures
7.4.
Knowledge of Cloud Computing platforms
7.5.
Front End/UI Technology & Deployment Services
8.
Career Path🎓 
8.1.
Need to Prepare
8.2.
Roadmap for Preparation
8.2.1.
Learn Python
8.2.2.
Mathematics
8.2.3.
Neural Network Architecture
8.2.4.
It's time to build projects
9.
Frequently Asked Questions
9.1.
What is deep learning?
9.2.
Why is it called deep learning?
9.3.
What advantages come with working for Samsung?
9.4.
What is the most crucial skill to have in order to succeed in an interview?
9.5.
What advantages does deep learning have?
10.
Conclusion
Last Updated: Mar 27, 2024

Deep Learning Engineer at Samsung India

Author Anju Jaiswal
0 upvote
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Speaker
Saurav Prateek
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20 Jun, 2024 @ 01:30 PM

Introduction

Hello Ninja! If you are seeking proper guidance for Deep Learning Engineer at Samsung.

Congratulations, Your browser has taken you to the right place. After reading this article with all of your complete senses, you will have a clear vision of your path to becoming a Deep Learning Engineer at Samsung.                    

Deep Learning at samsung

Wait! Wait! But before discussing the strategy to get into Samsung. Don't you think it would be great if you knew a little about the company you were dreaming about?

About Samsung😀

The Samsung Group, also known as Samsung or simply Samsung (Korean: 삼성 [samsʌŋ] ), is a South Korean worldwide industrial corporation with its headquarters in Samsung Town, Seoul.

In 1938, Lee Byung-Chul established Samsung as a commercial business.                                       

Samsung

Aspiring to rank among the most moral businesses, Samsung continues to practice fair and open corporate management while also training its staff and running monitoring systems.                                   

Samsung's CEOs are Kyung Kye Hyun and Han Jong Hee. Samsung adheres to a straightforward business tenet: to use its expertise and technology to develop top-notch goods and services that advance a more civilized world. Samsung places high importance on its people and technologies to do this.

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Role and Responsibilities👩‍💻

Deep Learning Engineer at Samsung carries out data engineering, modeling, and deployment tasks as shown in his includes:                             

Roles and Responsibilities

Data engineering subtasks

Such as defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data.

Modeling subtasks 

Such as training deep learning models, defining evaluation metrics, searching hyperparameters, and reading research papers.

Deployment subtasks 

Such as converting prototyped code into production code, setting up a cloud environment to deploy the model, or improving response times and saving bandwidth.

Salary💰 

Your salary depends on various factors like Experience, Location, Skills, and Company.

Samsung is known for paying decent salaries to its employees and providing a flexible work environment and good career progression chances. According to 79 percent of Deep Learning Engineer at Samsung employees receive a generous salary and other financial benefits from the company, which ranges from Rs. 6 to 8.5 LPA and above. Mid-level Deep Learning Engineers with more than eight years of work experience can earn an average annual salary of Rs. 7 to 12 LPA, while senior-level professionals with more than 15 years of experience can command salaries of Rs. 25 to 48 LPA and above.

 ** Above salary figures are subject to change are subject to change                                           

Promotion

This is how you look like as a Samsung employee!

Flexible timings ⏰

Flexible timimng

Hours of work are flexible. According to many Deep learning engineers at Samsung employees, the company promotes a flexible work-hours policy that allows employees to maintain a healthy work-life balance.

Promotion📈

In today's business world, earning promotions is a difficult task. According to many Deep learning engineer at Samsung employees, getting promoted at Samsung is difficult.

You can check out Culture at Samsung to further know how Deep learning engineer at Samsung are been taken care of.

Skills Requirement🧠💡

A programming language suitable for Deep Learning

Although you may already be aware of this, I know you might be wondering why I am telling you. But picking a programming language is the first step that puts you on the path to Deep Learning Engineer at Samsung. Python and R are frequently used and preferred for Deep Learning.                       

Python and Ruby

Mathematics for Machine Learning

If you are a software engineer, you can easily code any solution. Still, when it comes to machine learning, you need to understand mathematical and statistical concepts so that you can analyze any algorithm and adjust it to your needs.           

Machine Learning

Computer Science Fundamentals and Data Structures

Knowing algorithms for machine learning and deep learning is not sufficient; you also need to be familiar with software engineering concepts like data structures, the software development life cycle, Github, and algorithms (Sorting, Searching, and Optimisation). Yes, it's easy to understand programming memes but hard to understand DSA. Coding Ninjas have a fully well-structured course. Go and explore after this, lots of stuff are waiting for you.                             

Knowledge of Cloud Computing platforms

The amount of data is growing rapidly as technology advances; you cannot manage that data on your local server, so you should switch to cloud technologies. These platforms offer excellent services ranging from model development to data preparation.                   

CLoud computing

                                        

Front End/UI Technology & Deployment Services

Because the person you are explaining to might not be familiar with these algorithms and would rather have a working solution to his problem, you should present your machine learning solution to others in the form of some charts or visualizations when you have it read. The ability to use any UI technology, such as DjangoFlask, or JavaScript, when necessary, can therefore improve the development process. Your Machine Learning code will serve as the backend, and you will create a frontend for it.\                    

Frontend/Backend

Career Path🎓 

So, You are determined to become a Deep Learning Engineer at Samsung. That is why you are here. You have already seen the perks and skills requirements in the above section.

But wondering how to gain excellence in this.

Well, Ninja! Don't panic. Coding Ninjas will help you through this.

How do I begin? Where do I begin? What subjects ought to be covered? etc. Do you need to read a book to understand every concept, should you use online tutorials, or should you learn Deep Learning engineering by working on projects related to it?

Let's Investigate

Need to Prepare

A deep learning engineer may use different tools depending on the organization. However, the following are some of the equipment that Deep Learning Engineer at Samsung frequently use:

cloud computing innovations like AWS, GCP, and Azure.

  • The AI product was implemented using object-oriented programming (OOP) languages like PythonJava, and C++.
  • Tools for managing collaboration and workflows, such as Git for version control
  • For workflow management, use an Integrated Development Environment (IDE) like Jupyter Notebook.
  • using Python and SQL for data engineering queries
  • For modeling the solution, use Python modules like sci-kit learn, pandas, NumPy, TensorFlow, matplotlib, Keras, Theano, and PyTorch.
  • Caffe is a deep learning tool that is open-source and whose framework was created with consideration for application development in mind.

 

We will help you in your practice, explore the following resources-

Roadmap for Preparation

Learn Python

Machine learning frameworks abound, including Tensorflow, Pytorch, Caffe, Theano, and Keras, among others. When you are using sophisticated deep learning algorithms like CNN and RNN, Python makes your life simple.

Mathematics

Deep Learning necessitates a lot of math, but it is not necessary to be an expert in math to explore this field. If you took mathematics in college, you can get started right away learning.

Neural Network Architecture

In order to work with real-world projects, we use frameworks like TensorFlow, PyTorch, Keras, etc. Building a neural network from scratch is a great way to learn what's going on underneath, but neural networks can become very complicated very quickly. Ninja! We have brought lots of resources for you.

It's time to build projects

It is essential if one wants to pursue a career in deep learning because learning theory only gets one so far; in order to truly master the art of deep learning, one must get their hands dirty. Here are a few project suggestions for you to try out.

  • Handwritten Digit Recognition
  • Cifar10 classification
  • Sentiment analysis
  • Sign digit Recognition
     

This video will help you in applying for a job, don’t forget to check it.

Frequently Asked Questions

What is deep learning?

Artificial intelligence (AI) and machine learning techniques called deep learning model how people acquire specific types of knowledge. Data science, which also includes statistics and predictive modeling, includes deep learning as a key component.

Why is it called deep learning?

The term "Deep Learning" refers to the quantity of additional "Layers" that are added in order to learn from the data. If you are unaware, a deep learning model simply updates the weights through an optimization function when it learns. A layer is a middle row of what are known as "neurons."

What advantages come with working for Samsung?

This Samsung benefit encourages employees to save money for their retirement plan in order to support their financial wellness, offers paid vacation, and provides its regular and full-time employees with a considerable amount of paid time off (PTO) and support for a student loan, account for health savings and paid Leave for Caregiver.

What is the most crucial skill to have in order to succeed in an interview?

A technical understanding and great communication skills are crucial during the job interview process. Communication skills in writing, speaking, and non-verbal are all covered.

What advantages does deep learning have?

For some fields, like speech recognition and computer vision, deep learning is currently state-of-the-art. Deep neural networks excel at processing image, audio, and text data, and batch propagation makes it simple to update them with fresh information.

Conclusion

In this article, we have discussed most of the vital things you need to know about the Deep Learning Engineer at Samsung; a brief idea about Samsung, the most required skills, a quick roadmap, and how we will help you in this journey.

Check out the Samsung Interview Experience to learn about Samsung’s hiring process.

These articles will help you to explore more about technical roles at Samsung:

Here are a few key websites that will aid in your exploration.

  • Learn Data Science for free with Coding Ninjas
  • How Can Data Science with Python Kick-start Your Career?
  • Preparation Guide For AWS Data Science Certification

Refer to our Guided Path on Coding Ninjas Studio to upskill yourself in Data Structures and AlgorithmsCompetitive ProgrammingJavaScriptSystem DesignMachine learning, and many more! If you want to test your competency in coding, you may check out the mock test series and participate in the contests hosted on Coding Ninjas Studio! But if you have just started your learning process and are looking for questions asked by tech giants like Amazon, Microsoft, Uber, etc, you must look at the problemsinterview experiences, and interview bundle for placement preparations.

You can also consider our Machine Learning Course to give your career an edge over others.

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Happy Learning!!

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