Career Opportunities in Artificial Intelligence

Machine learning is considered synonymous with AI. However, it is only a subset of AI, and deep learning is a subset of machine learning. Machine learning refers to the concept that computer programs can automatically learn from and adapt to new data without any human assistance.

Deep learning is a way of enabling this automatic learning through the absorption of vast amounts of unstructured data such as text, images, or video.

The basic principle of Artificial Intelligence is based on the idea that human intelligence can be defined so that machines can easily replicate this human cognitive activity.

Major Components of Artificial Intelligence

For the machine to be able to mimic human intelligence and execute tasks, it needs to have the following components-

• Hardware

Graphic Processing Units or GPUs are an integral part of making AI aided machines. They are high-end graphic cards. GPUs can simultaneously process many pieces of data and can be used as a discrete hardware unit.

• Framework

The presence of a suitable framework is significant. It is the basic building block of AI technology.

The libraries of Matlab, Python, R and Azure Machine Learning Studio are most commonly used.

• APIs

Application Programming Interface or API are used for building software and applications.

They are mainly used to achieve Text classification, image classification, sentiment analysis, etc.

Career opportunities in Artificial Intelligence

The next big phenomenon in the IT industry is Artificial intelligence. The high paced advancement of technology recently has opened many ways for AI career opportunities. As AI and machine learning demand have increased in the industry, organizations require complete in-depth knowledge of these growing technologies and hands-on experience.

Individuals looking for a career in AI should have proper knowledge about the subject. Artificial intelligence is gaining popularity in public as well as government sectors. Hence, chances of career growth in Artificial Intelligence are abundant.

Job opportunities in Artificial Intelligence

With the increasing demand for professionals with this subject's knowledge, Artificial Intelligence's job opportunities are highly present. Some of the jobs one can take up are as follows:

1. Data scientists

In the present job market, data scientists are significantly less, and hence the demand is high. It is the top-ranked in any IT industry.

A data scientist's main job is to gather relevant data from multiple sources to assess it to gain constructive inferences. The conclusions made from the data are essential to make decisions for the company's welfare in the long run.

A data scientist considers the different trends in a pattern from the past and presents them to make the correct predictions. They should be able to generate to the point of insight to a specific project.

Thus, the job of a data scientist tops the list of AI career opportunities. Prerequisites of being a Data Scientist:

• They should be equipped with good analytical skills.

2. AI Data Analyst

An AI data analyst's primary work is to carry out data mining, data cleaning, and data interpretation from pre-loaded data collection. An AI data analyst draws inferences from the data and helps in making decisions for a particular company.

The requirements of an AI data analyst are pretty high.
Prerequisites of being an AI data analyst:

• An undergraduate degree in mathematics or computer science is required.
• Prior knowledge as to how to use MS Excel is a critical necessity.

3. Big Data Engineer

If you are looking for career growth in Artificial Intelligence, this is the perfect job. A prominent data engineer's primary work is to build an ecosystem to administer a company's big data.

After analyzing the big data on a large scale, inferences are made.
Prerequisites of being a Big Data Engineer:

• Programming languages like Python, R and Java will play a vital role in this career.

4. Business Intelligence (BI) Developer

A BI developer's main office is to promote, expand, and maintain BI tools and interfaces. They also have to break down highly machine level language containing technical terms and complicated information into layman's terms for everyone else in the company to comprehend.

They provide calculated solutions to the complex problems of an organization. Since they have to examine a large amount of data, they should have the ability to work with data from the past and data generated recently

They identify different business trends running in the market by evaluating complicated data collections and assessing their vitality. They play a significant role in escalating the company's profit margin without compromising the company's efficiency

Starting from planning and sustaining data for cloud-based platforms to optimizing workflows and processes, business intelligence developers are accountable for maintaining the company's growth. Their demands won't diminish soon and hence a career in AI is very stable.

Prerequisites of being a Business Intelligence (BI) Developer:

• Prior knowledge and understanding of computer programming and data sets is required.
• A bachelor's degree in computers, mathematics, or engineering is essential in this career in AI.
• Basic knowledge of SQL servers and queries and data warehouse designing is required for this career growth in Artificial Intelligence

5. Machine Learning Engineer

Machine learning engineers are responsible for creating and maintaining self-running software that promotes machine learning initiatives. They are in constant demand by the companies. Hence, it is the best place to build a career in AI, and their position rarely remains vacant. They work with huge chunks of data and therefore need to possess extraordinary data management skills.

They work in image and speech recognition sectors, prevent fraud and other trickeries, customer insights, and manage risks.

• Basic knowledge of programming, computing, and mathematics is required in this career in AI.
• A master's degree in Mathematics or Computer Science is desirable.
• You need to be well aware of languages such as Python, R, Scala, and Java.

6. Full-stack developer

A Full Stack Developer is a software expert who is equally proficient in front-end (client-side) development and back-end (server-side) development. Full Stack Developers address software with in-depth understanding since they cater to both user experience and functionality.

Full-stack developer decodes user requirements into the overall architecture and implements the new systems.

• You will need to learn front-end languages like HTML5, CSS3, JavaScript etc. You should also know libraries like jQuery, LESS, Angular and ReactJS.
• You will need to learn back-end languages like Java, Python, Ruby, .Net etc.
• You need to know the DBMS technology with knowledge about MySQL, MongoDB, Oracle, SQL Server.
• The idea about caching mechanisms like varnish, Memcached, Redis are desirable.

7. AI Engineer

They are the ones who put to the test the different AI models and find the loopholes. They use various machine level algorithms and a basic understanding of neural networks for this purpose.

• The idea about caching mechanisms like varnish, Memcached, Redis are desirable.
• Prior knowledge of languages like Python, R or C++ is needed.
• Proficiency in statistics, NLP, applied mathematics, and analytics is required.

8. Robotics Scientist

Robotics Scientists will be required to program the different machines using AI to get the output efficiently.

• A master's degree in robotics, computer science or engineering is necessary to go ahead in this career in AI.

9. Data warehouse engineer

A Data Warehouse Engineer's main task is to supervise the entire life-cycle of the business's data warehouse's back-end development. A Data Warehouse Engineer is primarily responsible for developing ETL processes, cube development for database and performance administration, and dimensional design of the table structure.

The Data Warehouse Engineer works closely with the data analysts, data scientists, product management, and senior data engineering teams. The inferences made from examining the big chunks of data are used to create consistent management decisions.

• A bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, Statistics, or any other related field is necessary.
• Additional experience knowledge of working with SQL Server integration services or any similar ETL tools is desirable.

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10. Product Manager

A product manager's primary job is to collect data and, after studying them, solve a problem. After data interpretation, the product manager must make probable estimates about the business outcome from the data analyzed.

It is one of the most important profiles for a company. The candidate must have high analytical and decision-making skills.

The job also includes arranging the different data sets that need to be analyzed to make decisions. The product manager also needs to identify the source of the problem, which needs to be resolved with the conclusion from the interpreted data.

• A Bachelor's degree in mathematics with high data handling skills is required for application in this post.

Top companies working in Artificial Intelligence

• Amazon

Amazon Web Services (AWS) provides AI in various fields, focusing mainly on consumers' needs. The commonly referred to the use of AI is the voice aided server called Alexa. Other of its endeavours include Lex, Polly and Rekognition.

AWS currently has more than 10,000 customers, including Siemens, Netflix, Tinder, NFL, and NASA

• Apple

The speech oriented server called Siri is the first thing that comes to our minds regarding AI. Apart from Siri, in the new versions of phones developed by apple, they have been equipped with a chip called the A12, which has a neural engine running the neural network software for speech and image recognition.

• Google

Google Cloud is leading in the fields of artificial intelligence development. They have various startups and is improving the use of artificial intelligence for search engine purposes. It has its software project called the TensorFlow.

• Facebook

Facebook's team, which is concerned with research on AI, is called FAIR. They are invested in making communications better by employing AI.

• DJI

This company is still a startup but has a market value of 5 billion dollars. They have significant shares in the global drone markets and are entering the AI market with commendable speed.

The latest drones are aided with image recognition to avoid colliding with any object. DJI has lately entered into a partnership with Microsoft for a drone-to-computer streaming project.

• Anki

Anki has several robotic products, and the most looked after one is called the Cozmo, a consumer-based robot. They are working on emotion-based AI technology.

• Clarifai

Clarifai is an image recognition platform that helps users organize, filter, and search their image database. They specialize in near-real-time visual search and face recognition under various circumstances.

• Deepmind

Google acquired them in 2004. They are a research-based company that focuses on every aspect of safe AI aided search. They employ AI for problem solving and various other advance scientific context.

• Casetext

It is a legal research platform that has accounts of several notable cases. It provides you with briefs based on documents and other details mentioned. It is the fastest standard platform present in the market.

• Casetext

It is a legal research platform that has accounts of several notable cases. It provides you with briefs based on documents and other details mentioned. It is the fastest standard platform present in the market.

• DataVisor

It is a startup company. It provides various companies with big data security analytics. It works in real-time and uses cloud computing to carry out the work.



Salaries in Artificial intelligence

Artificial Intelligence is growing at a reasonable speed, and hence there is a high demand for professionals with good knowledge of the subject for jobs in AI. A career in AI is very stable in the present day scenario. There are little chances of a job deficit in trade in AI soon. The salary ranges are pretty high, depending upon your area of expertise.

The salary range is different for different jobs in AI.
• A Business Intelligence Developer can expect an average salary in the range of INR 327K to INR 1,030K.
• An AI data analyst can have an annual package ranging from INR 6LPA to INR 10LPA.
• A data scientist has an expected average salary of INR 7 lakhs.
• Algorithm developers can have a salary in the range of INR 334K to INR 1,264K.

The starting salaries are around INR 6 LPA and can hike up to INR 12 LPA. Many AI career opportunities grab with a high salary amount with good knowledge and high experience.

If a candidate has enough qualifications and work experience, salaries can reach up to INR 17 LPA.

For most AI job profiles, India's Artificial Intelligence salary is much higher than the national average pay scale. Professionals equipped with AI skills and standard educational qualifications earn more elevated than their counterparts with similar academic qualifications (without AI skills). Therefore, a career in AI is very lucrative, considering the pay scale it provides.

Q&A Session

Q1.What is the main goal of AI?

The main goal of AI is to make a technology that can mimic human intelligence and solve various problems. It will play a significant role in developing systems that can recognize, interpret, process and simulate human logical skills. All these can be achieved when intelligent systems can predict their motive and emotions. Quality of interpreting human effect could help in better and faster decision making.

One will use it to reduce human errors and develop a more efficient working system with less error probability.

With the introduction of AI, job opportunities in artificial intelligence will also increase.

Q2. Are Artificial Intelligence Jobs in Demand?

The Artificial Intelligence sector is increasing rapidly, creating a vast number of opportunities in a career in AI. There are tremendous AI career opportunities with the correct set of skills and prior in-depth knowledge and understanding of the subject and the subject's requirements. The demand is very high.

Since it is a comparatively new sector, it is yet to be explored. Hence there are many vacancies presently. It is expected that there will be no deficit in the career prospects offered by this field and job opportunities in artificial intelligence will be there to hire potential candidates.

The demand for appropriately skilled professionals is very high and is assumed to remain the same in the coming few years. Hence, candidates should consider making a career in AI make use of jobs in AI.



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Q3. How do I start a career in artificial intelligence?

If you are entirely new to this field and looking for AI career opportunities, you should start with mathematics and do various machine learning courses. Mathematics is an integral part of this filed and enhances your analytical skills. Apart from mathematics, it would be best if you learned various programming languages like C++. You will also need to create a strong understanding of algorithms.

If you are already a programmer, you need to work more on algorithms and create a strong base. Then you need to improve your analytical and communicational skills. It would serve as a great source of help if you also had a good hold over model building and visualization.

The main thing which needs to be highlighted is, AI is constantly evolving. Hence, you need to updated with everything and eager enough to broaden your horizon of knowledge and be adaptable to learn new things.

Q4. Is AI a good career?

A career in AI is promising if you have adequate knowledge of the subject. It is a constantly growing market, and one needs to be updated to survive in this field.
The job market is vast, with vast AI career opportunities but very less trained candidates. In an aspect of being a stable career option, it is good.

The pay scale is more extensive than any other average job; hence it assures financial stability. It is an excellent job profile, and if you are looking for trying your hands in AI, do not hesitate and jump into it and make a career out of it.

Q5. Who is eligible for an Artificial Intelligence course?

Artificial Intelligence courses cover many topics, such as Machine Learning, Deep Learning, Neural Networks, etc. Hence, the essential eligibility criteria is a science background.

Coming from a technical background is desirable. However, a bachelor's degree in mathematics Computer Science is also acceptable. A bachelor's degree in Data Science, Information Technology, Information Systems, Statistics is also considered for Artificial Intelligence.

A working professional can also opt for the courses. Working experience in programming in different languages like C++, Python, and Java is required by a working professional and the criteria mentioned earlier.



Conclusion

A career in AI is probably the most lucrative job profile in recent days. Artificial intelligence is making its ways into the IT industry and other industries like medicines, e-commerce, etc and creating huge AI career opportunities

Doctors can obtain an accurate diagnosis of a disease by employing artificial intelligence in the field of healthcare. Considering the growing trends in online studying, the best method to enhance its productivity is by introducing AI to conduct more accessibility between a teacher and a student.

The introduction of artificial intelligence into construction fields will aid faster and safer construction of buildings and other structures as bridges. The people in charge can monitor the effective working of an industry and its outcomes and profit margins with artificial intelligence.

Artificial intelligence is the future of the world with many jobs in AI. One needs to be accurately aware of the subject's demand to get a promising career in AI and make use of the job opportunities in artificial intelligence.

Learning about AI and its related subjects like Machine learning and deep learning will help you get many AI career opportunities. It is the most promising career option at present times.