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Table of contents
About the Job
Salary and Perks
Skills, Qualifications, and Experience Required
Career Path
Responsibilities with the Job
How to become an AI/ML
Roadmap to Master AI/ML
Frequently Asked Questions
Is it difficult to become AI/ML Expert at Samsung R&D?
How does Samsung R&D operate?
Is Samsung R&D product based?
How much money does Samsung put toward R&D?
What requirements must you meet to be AI/ML Expert at Samsung R&D?
Last Updated: Mar 27, 2024

AI/ML Expert at Samsung R&D

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Samsung Engineering has grown since its establishment, going from a tiny domestic engineering firm to a well-known name in the EPC sector. A broad variety of engineering services, including upstream and downstream hydrocarbon facilities, power plants, water and waste treatment plants, and industrial production facilities, have been added to Samsung Engineering's business portfolio.



Samsung Engineering has accomplished this by drawing talent from all over the world. By combining imaginative, cost-effective engineering with flexible, efficient administration, Samsung Engineering can provide significant, dependable value to our clients. Samsung Engineering is in an excellent position to support emerging and established international industries.

This article covers everything from the job description to the roadmap of the profile AI/ML Expert at Samsung R&D.

About the Job

about the job.

AI/ML Expert at Samsung R&D's responsibility is to organize the team's efforts so that business issues may be properly converted into data analyses that result in actionable suggestions. Understanding the data infrastructure and your capacity to provide insights will be the two main focuses of this unusual hybrid function.

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Salary and Perks

For workers with 0 to 3 years of experience, the average Samsung Research AI/ML engineer salary in India is around 17.4 Lakhs per year. The salary range for a machine learning engineer at Samsung Research is between 11 and 25 lakhs per year

 ** Above salary figures are subject to change

salary and perks

It's always a good idea to include the perks of the job the company will provide, such as:

  • Health Care & Insurance
  • Performance Bonus
  • Maternity & Paternity Leave
  • Reduced or Flexible Hours
  • Unpaid Extended Leave
  • Vacation & Paid Time Off
  • Employee Discount
  • Free Lunch or Snacks
  • Gym Membership
  • Job Training & Tuition
  • Apprenticeship Program

Skills, Qualifications, and Experience Required

You are responsible for transforming business problems into data analyses and making insightful recommendations. In this unusual hybrid position, your understanding of the data infrastructure and your capacity to provide insights will be emphasized.

  • Bachelors or Masters or Ph.D. in Computer Science (AI/ML) or similar technical field with 5+ Years of Experience.
  • Knowledge of ML Frameworks and CC++, or Python programming experience.
  • Tier 1 AI, ML, and data conference publications.
  • Substantial AI and machine learning knowledge and a track record of quality publications.
  • It is a plus if you have previous hardware and software development experience in robots.
  • Telecommunications knowledge is a plus, especially at the systems level.
  • Strong expertise with machine learning tools, including Pytorch, TensorFlow, ROS, and OpenCV, and experience exploiting machine learning and AI for robotics and communications.
  • Outstanding interpersonal and communication abilities.
  • Understanding vision-based ML models on devices and a desire to learn about and use SOTA architectures.
  • Well-versed with spark and other Big data technologies.
  • Deep Mathematical knowledge of linear algebraprobability, and statistics.
  • Ability to learn utilizing Deep Learning models with cutting-edge computer vision.

Career Path

The following list contains both AI-related employment and specific roles that collaborate closely with people in AI roles.

career path

1. Data Analytics 

  • Making predictions by identifying essential patterns in data by looking at the past.

2. User Experience 

  • Work with the product to ensure that users can quickly grasp how it works.
  • Recognize how people utilize technology and how computer scientists can use that knowledge to create more sophisticated software.

3. Natural Language Processing

  • Working and improving chatbots to provide accurate and meaningful responses.
  • Working on Virtual assistants to ease user interaction.

4. Researcher

  • AI and computer science research.
  • Learn how to advance AI technologies.

5. Research Scientist

  • Expert in computational statistics, machine learning, deep learning, and applied mathematics.
  • Expected to possess a doctorate in computer science or a doctorate in a closely comparable discipline backed up by experience.

6. Software Engineer

  • Make software that AI tools can use.

7. AI Engineer

  • Create AI models from scratch and help product managers and stakeholders understand the results.

8. Data Mining and Analysis

  • Analyze massive data sets for anomalies, patterns, etc., to make predictions.

9. Machine Learning Engineer

  • Designing, creating, and maintaining ML software systems using data.

10. Data Scientist

  • Gather, examine, and interpret data.

11. Business Intelligence (BI) Developer

  • Determine market and company trends by examining vast, intricate data sets.

12. Big Data Engineer/Architect

  • Create technologies that enable data collection and communication between enterprises.

Responsibilities with the Job

responsibility image

Listed below are some potential positions and duties for your profile. Depending on the requirements, these are the responsibilities that you might need to fulfill: 

  • STRIDE's Deep Learning in the CV domain (OCR Engine) Project.
  • End-to-end Optical character recognition engine for text extraction and detection on devices.
  • Python programming at a high level and practical knowledge of Deep Learning Model creation and training.
  • DL model development is done by hand using Keras and Tensorflow. Understanding Pytorch is a benefit.
  • Experiment with and offer various metrics, optimizers, and loss functions for an ML model appropriate for the task at hand using OpenCV experience with image processing.
  • Examining the model's faults and failure cases and developing countermeasures.
  • Analyzing and visualizing data to understand it better, then spotting discrepancies in data distribution can impact how well the model performs when used in practice.
  • Working with massive datasets taken from the real world.
  • Techniques for model thinning, compression, and optimization, as well as knowledge of deploying AI models on mobile devices.
  • A desire for innovation, knowledge of current CV research, Interested in developing new or unique solutions (Enhance User experience, Improve performance, etc.)

How to become an AI/ML

Here are some things that might help you become an AI/ML Expert at Samsung R&D.

  • Get a secondary school diploma

Obtaining high school graduation with a concentration in a scientific subject, such as chemistry, physics, or mathematics, is the first requirement to enter the field of artificial intelligence engineering.

  • Accomplish a bachelor's degree

You can enroll in a three-year Bachelor of Science (B.Sc.) degree rather than a four-year Bachelor of Technology (B.Tech.) program.

  • Get a master's degree

You might wish to think about acquiring your master's in a related field to improve your earning potential and competition for opportunities in AI engineering.

  • Achieve Certifications

On the other hand, taking part in Artificial Intelligence Courses or certificate programs may help you improve your skills at a cheaper cost.

  • Obtain Employment

You can start applying for jobs in artificial intelligence (AI), deep learning, and machine learning once you have gained enough competence in the area. Many other job kinds are accessible in this sector, including data scientists, AI specialists, machine learning developers, robotics engineers, and data scientists.

Roadmap to Master AI/ML

Check out this video by the CEO of Coding Ninjas, Ankush Singla, explaining the roadmap of Machine Learning. The video also debunks a few popular AI/ML myths.

Here are some courses and test series by Coding Ninjas to aid your AI/ML expert journey:

Frequently Asked Questions

Is it difficult to become AI/ML Expert at Samsung R&D?

It's tough to become AI/ML Expert at Samsung R&D if you don't have technical abilities and university background. Samsung is an excellent location to work because it is a growing business. It serves as a fantastic starting point for motivated workers.

How does Samsung R&D operate?

To pioneer future technologies and create new values through never-ending innovation and intelligence, Samsung Research serves as the company's advanced R&D hub. Samsung Research is the sophisticated R&D center for Samsung's IT & Mobile Communications (IM) and Consumer Electronics (CE) Divisions.

Is Samsung R&D product based?

Bangalore-based Samsung R&D Institute in India is not a product-based company. It is an IT services provider that works with Samsung Korea (HQ).

How much money does Samsung put toward R&D?

According to its quarterly business report, Samsung spent the most money ever on R&D during the January–September period: 16.19 trillion won ($13.73 billion), an increase of 289 billion won from a year earlier.

What requirements must you meet to be AI/ML Expert at Samsung R&D?

To be AI/ML Expert at Samsung R&D, Students majoring in BE, BTech, ME, MS, or MTech may apply. Students from the ECE, CS, IT, EEE, IS, E&I, instrumentation, and telecom streams may apply. When applying, there should be no backlog.


This article covers everything you need to know about AI/ML Expert at Samsung R&D. Still have more questions; Here are some articles for rescue:


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