As Artificial Intelligence technologies keep growing and expanding, machine learning has become one of the most sought-after skills in the job market. Machine Learning has seen a lot of growth in the last few years. Recently, it is one of the hottest topics and seems to be grabbing a lot of media attention. It is a new and developing field that is being used in a bunch of different fields to optimize the processes.
One of the common questions that come to mind is whether Machine Learning is a good career option in India? If yes, what are the top career paths? How much is the pay scale of the Machine Learning professionals in India?
However, with so many machine learning jobs available, you might wonder if machine learning is a good career choice. This blog talks about the different aspects of machine learning and why it is a good option for a career.
Read more to find out.
What is Machine Learning?
Machine learning is a buzz phrase that we hear every day, but we’re still not quite sure what it means and how it can help us. Most people think of Machine Learning as some sort of computer brain that is brimming with AI. So, what is Machine learning and how can it bring value to your business.
Let’s start by trying to understand what machine learning is?
With the advancement of technology, it is amazing to see machines performing tasks that are typically accomplished by humans. One of the various tasks that are being done by machines is predictive analytics. Predictive analytics will help businesses to understand different patterns that are occurring within their business. The use of machine learning will help to accomplish this task.
Machine learning is a branch of artificial intelligence, and it’s growing in popularity. Well to define; “Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed”.
In other words, Machine Learning is a computer programming technique in which a computer program learns to perform a task or class of tasks by analysing data and using statistical inference to improve its performance.
For instance, when shopping online, have you ever encountered an app or website that recommended products that were related to or similar to your previous purchase? In this case, then you’ve seen how machine learning works. The combination of products that are “bought together” is another product that arises from machine learning.
To serve the needs of their audience, companies divide people into different categories and tailor their shopping experience to their browsing habits.
In summary, machine learning is simply the ability of machines to make predictions based on past experiences. By using it, machines can make data-driven decisions that are more efficient than manually programming them to do certain tasks. In addition to being designed to provide organizations exposure to new data, these algorithms can also be used to help improve their strategies.
Future Scope of Machine Learning in India
India is known for great thinkers, innovators. But today India is the golden opportunity for the application of machine learning. Machine learning is an interesting field, with the potential to affect every industry in the world. However, it is still early in its development. The future scope of machine learning in India is set to change in the next few years. Let’s look at how.
a. Enhancement of cognitive services
Software developers can include and enhance intelligent capabilities in their applications with the help of machine learning tools like SDKs and APIs. As a result, machines will be able to use all the things they encounter to perform several tasks, such as visual recognition, speech recognition, and dialect comprehension. Ex: Alexa, Google Assistant
b. A revolution in Quantum Computing
The field of machine learning has the potential to be transformed and innovated by quantum algorithms. With this system, data could be processed much faster and insights and information could be synthesized much quicker. Increased machine performance will open a multitude of doors that will elevate and push evolution forward.
c. Robotics on the Rise
Even the simplest tasks will be automated, and humans won’t have to be responsible for themselves because a robot will follow them everywhere they go. Human delivery men have already been replaced by drones as a matter of course. Through robotisation, multi-agent learning, robotic vision, and self-directed learning can all be conducted.
Top 10 Career Path for Machine Learning in 2021
Machine learning is undoubtedly one of the most promising fields in today’s IT industry. The demand for machine learning experts is on a consistent rise. With all the newness it’s an interesting time for those who wish to delve into it. If you are a data scientist or an analyst with some experience, machine learning is a great option for you to consider.
Some of the best career paths for machine learning in 2021 are highlighted below:
- Machine learning software engineer
An artificial intelligence software engineer works in the field of machine learning. They are responsible for creating algorithms that allow machines to analyse input information and comprehend causal relationships. They are also responsible for improving algorithms that analyse input information. ML software engineers must possess outstanding problem-solving, analytical thinking and programming skills.
- AIOps engineer
An AIOps engineer is responsible for developing and implementing algorithms that analyse IT data and improve the efficiency of IT operations using artificial intelligence. AI software engineering enables these processes to be automated, thus reducing labour costs. AIOps engineers should be knowledgeable in areas such as networking, cloud technologies, and security.
- Data scientist
Data scientists work with big data by combining machine learning algorithms with data analytics. They often have to clean and pre-process unstructured arrays of data. A data scientist’s role is to identify patterns in data that can be used to develop predictive business intelligence. You need a strong mathematical background and the ability to pay close attention to every detail to perform well as a data scientist.
- Cloud architect for ML
ML companies today prefer to process and save their data in the cloud due to its reliability and scalability. An organization’s cloud architecture is managed by the cloud architect. AWS and Azure expertise, as well as knowledge of configuration management tools like Chef/Puppet/Ansible, are useful skills for cloud architects. If you wish to participate in this program, you will have to be able to code in a language like Python, Go or any other.
- Cybersecurity analyst
Cybersecurity analysts identify hacking threats and dangers of data leakage. Furthermore, they ensure the safety and confidentiality of big data by implementing measures to prevent information loss. In addition to having a bachelor’s degree in a technical field, cybersecurity specialists are expected to be knowledgeable in security frameworks and related areas such as networking, operating systems, and software applications.
- Computing linguist
Linguists who specialize in computational linguistics develop ML algorithms for online dictionaries, interpreting systems, mobile apps, and robots. Machine learning engineers and computational linguists both have a deep understanding of linguistics and how computer systems process natural language. Python or another language is frequently used by computational linguists.
- A system designer/researcher with a human-centric perspective on AI
Artificial intelligence software is designed with end-users in mind when it is human-centric. Using deep learning algorithms, human-centric AI can learn to collaborate with humans and improve continuously. Such communication must be smooth and convenient for humans. The human-centric AI designer must possess technical know-how as well as an understanding of UX/UI design, cognitive science, computer science, and the psychology of communication.
- Robotics engineer
Robotics engineers design and build robots and complex robotic systems. A robotics engineer has to consider the mechanics, imagine how its electronic parts will be assembled, and write the software for the robot. You, therefore, need to be proficient in mechanics and electronics to become an expert in this field. It is also necessary to be acquainted with hardware interfaces, such as cameras, LiDAR, embedded controllers and programming languages like C++ or Python.
- Conversation designer
Someone who designs a virtual assistant’s user experience is a conversation designer. As the person responsible for translating a brand’s business requirements into a dialogue, they should be an expert in UX/UI copywriting and communication.
- AI ethicist
The organization’s goal is to minimize the risks that AI adoption could have on its reputation, finances, and legal standing. AI ethicists conduct ethical audits of AI systems in companies and propose strategies for improving non-technical aspects of AI. In addition, they ensure companies take responsibility for their AI-driven software.
Machine Learning Expert Average Salary in India
According to Glassdoor, the Machine Learning expert average salary in India is around ₹8,13,246 per year. However, it can increase or decrease based on skills, experience, knowledge, and the designation of the company.
If you are thinking about Machine Learning as a career in India, you need to know that Machine Learning is one of the top careers in India. It is the future of technology and has lots of opportunities. If you are a tech geek, you can make use of this by opting for Machine Learning courses in India. They are affordable and you can get the best of the courses. You can even get placement assistance while studying in India. So, if you are thinking about Machine learning as a career in India, you should do it.
Machine Learning Course Offered at Made Academy, Bangalore
Made Academy’s Machine Learning course will provide aspirants with an organized introduction to Machine Learning concepts. The Govt of India. Govt of Karnataka approved institute has designed a holistic course encompassing both the intensive training modules as well as hands-on workshops for the following skillsets:
- Deep Learning – CNN Foundation
- Model Deployment (Flask- API)
- Time Foundation Series and many more.
Whether, you are a software IT or Data working professional or fresh engineering graduate, MADE Academy will help you to acquire skills and nurture brilliant ideas to take over the Digi-tech world.
Join us at MADE Academy and prepare eagerly for the future. Get in touch with us to learn more about the course details.