What Are the Top Job Roles in Artificial Intelligence?

Apr 26, 2022 Updated: Mar 12, 2024

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What Are the Top Job Roles in Artificial Intelligence

As humans, we’ve always been beguiled by scientific achievements and science fiction, and we’re living through some of the most momentous breakthroughs in human history. Artificial Intelligence (AI) has quickly shot to the top of the technology chain. Organizations all across the world are working on artificial intelligence and machine learning advances.

AI adoption is rising at a quicker rate than ever before, because of the abundance of data and the maturity of other advancements in cloud processing and computer capacity. Companies now have access to enormous amounts of data, including dark data they were previously unaware of. These hidden gems are a stroke of luck to AI development.

In this blog, we’ll delve deep into the Artificial Intelligence area to learn more about AI and what a job in AI entails.

AI Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
ML Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Data Scientist – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Robotics Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Business Intelligence Developer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.

7. Challenges in AI
8. Conclusion
9. FAQ – 10 questionsIns

1. In essence, what is Artificial Intelligence?

Humans have created an intelligent entity that is capable of intelligently doing things without being explicitly directed, having sensible and humanitarian thinking and action.
Machine intelligence is referred to as artificial intelligence. Artificial Intelligence has grown very popular in today’s globe. It’s the replication of human intellect in computers that have been programmed to learn and mimic human behaviour. These computers can learn from their mistakes and do activities that are similar to those performed by humans! How wonderful is that?

2. AI in everyday life

Here’s a rundown of AI applications you can utilize in your daily life:

Online shopping – uses artificial intelligence to present users with customized recommendations based on their prior searches and purchases.
Digital personal assistants – using artificial intelligence (AI) provide tailored services. AI assistants can easily answer inquiries and assist users in organising their everyday activities.
Search recommendations: Predictive searches are based on data that Google collects about you, such as your location, age, and other personal details. The search engine uses artificial intelligence to try to guess what you’re looking for.
Google’s AI-powered forecasts: AI is at work when apps like Google Maps evaluate traffic and construction to provide the fastest route to your location.
Machine translations: AI-based language translation software can assist users to understand foreign languages by providing translations, subtitling, and language recognition.
Cybersecurity: By recognizing trends and tracing the attacks, AI systems can assist in recognizing and combating cyberattacks.
E-mail spam filters: Google employs artificial intelligence to ensure that nearly all of the emails that arrive in your inbox are genuine. Primary, social, promotional, spam, updates, and forums are some of the folders that Google organizes emails into.
Apps for sharing rides like Uber, Ola.
Plagiarism detection software and checkers.
Recognition of facial expressions.
Protection and prevention of fraud.

Isn’t it true that AI has aided in the fight against Covid-19 as well? AI has been used to identify outbreaks, process healthcare claims, and track the disease’s spread in the case of Covid-19.

3. Artificial Intelligence in India

As a developing country, India has a lot of room for technical advancements with the help of AI technology. India is already a global IT powerhouse. According to IDC, Predictions for Artificial Intelligence in the World in 2021, by 2023, at least 35% of I1000 firms will apply AI technologies across the board, such as natural language processing (NLP), machine learning (ML), and deep learning (DL), to allow 50% of use cases in domains including customer experience, security, facilities, and procurement.

According to the International Data Corporation, businesses in India would accelerate the use of both AI-centric and AI-non-centric applications during the next five years (IDC).

4. Top companies hiring AI Professionals

With artificial intelligence reaching a pinnacle of popularity, many companies are looking for people who can understand this much-talked-about technology and are willing to pay top price. The leading artificial intelligence companies in India that are actively hiring are listed below.

Amazon.com – is one of the artificial intelligence firms in India that is employing software and machine learning engineers.
NVIDIA – creates graphics processing units for gaming and professional markets, as well as systems on a chip for mobile computing and automotive applications.
Microsoft – is looking for Artificial Intelligence specialists. Artificial Intelligence is in high demand, prompting businesses to seek people who can provide value. Several firms have recently released AI expert applications.
IBM – International Business Machines Corporation – is a global corporation based in the United States that is hiring data scientists in artificial intelligence in India. IBM is one of the artificial intelligence firms that is currently hiring in India.
Accenture – the firm is currently employing analysts in the field of artificial intelligence and innovation and is one of the artificial intelligence firms hiring in India.

Other companies hiring AI professionals are:

Facebook
Intel
Samsung
Lenovo
Adobe
MoTekTechnologies
Uber
PCOInnovation
Rakuten Marketing
Wells Fargo
Google
Apple

5. Why should you choose Artificial Intelligence?

A colossal quantity of job openings

According to the World Economic Forum’s “Future of Jobs Report 2020,” 85 million jobs will be lost by 2025, while 97 million new jobs would be generated in 26 nations. Many monotonous and occasionally dangerous tasks, such as data input and assembly line production, will be automated by AI. Many other jobs will be affected by technology, allowing workers to focus on higher-value, higher-touch tasks that often require human contacts. Businesses and individuals will gain from this newly expanded employment because they will have more time to be creative, innovative, and entrepreneurial.

Upskilling and reskilling are two terms that are used interchangeably.

According to the World Economic Forum, 50% of all workers will require some upskilling or reskilling in the next five years to prepare for changing or new occupations. Because of the fast speed of technological change, new training methods are needed to prepare personnel for an AI-based future. True upskilling necessitates a citizen-led approach that emphasises the application of new knowledge to cultivate an AI-ready mindset.

Artificial intelligence (AI) is omnipresent.

However, AI plays a significant part in a variety of industries, including banking, healthcare, security, mobile, fraud detection, clothes, and many more. To name a few industries, there is the automobile industry, music recommendations, smart home devices, online customer support, security surveillance, retail, and healthcare.

Boost your CV

Your chances of getting employed may improve if you have AI talents. Obtaining an Artificial Intelligence Certification greatly boosts your chances of receiving an interview call since you will possess all of the necessary skills that a company seeks. Furthermore, there’s a good probability that the other candidates don’t have an AI certification, making you an uncommon find.

High Income

Pursuing a career in Artificial Intelligence will not only pay well but will also provide you with a wealth of opportunities. An AI professional’s average income ranges from $100,000 to $150,000 in the United States and 15 lakhs in India. If you master Artificial Intelligence, you could work as a Machine Learning Engineer, Software Engineer, Hardware Engineer, Research Engineer, Business Intelligence Developer, or Data Scientist.

Unusual career path

Artificial intelligence (AI) was created to reduce human effort in daily monotonous and dull work. It means that while AI will reduce human jobs, it will also create new opportunities for talented individuals.

6. Job Roles in AI

Artificial intelligence is driving emerging technologies like big data, robotics, and the Internet of Things, as well as shaping the future of every sector and every human being. Based on its current growth pace, it will continue to be a technical innovator for the years ahead. As a result, skilled and qualified professionals have numerous options to pursue a successful career.

Let’s take a look at the Top 5 Job Roles in Artificial Intelligence:

a)AI Engineer

What exactly is an AI Engineer?

Artificial intelligence engineers are responsible for designing, programming, and training the complex networks of algorithms that make up AI for them to replicate human brain processes. A combination of software development, programming, data science, and data engineering abilities are required for this position.
An artificial intelligence engineer’s goal is to figure out the best way to use AI to address a particular business problem. Many artificial intelligence engineers have their pilot projects to present potential employers or partners. Some contribute to the development of open-source AI tools through a network of open-source groups.

Responsibilities of an AI Engineer

Creating software
Developing and using artificial intelligence algorithms
Developing infrastructure for data science
Data analysis
Processing of natural language
Processing of images
Establish business goals for AI implementation.
Collaborate with other members of the IT team to see how machine learning techniques may be applied to specific business concerns.
Identify hurdles that could jeopardise an AI-powered project and look for remedies.
Promote data wrangling, data processing, and project documentation best practices.

Skills to become an AI Engineer

Technical skills: linear Algebra, Statistics, and Probability, Agile framework, Programming skills (R, Python), Big data.
Soft Skills: Analytic capabilities, business acumen, communication skills, team management, creative thinking, problem-solving.

AI Engineer Salary in Top Cities

As a massive amount of data generated by enterprises across industries grows at an unprecedented rate every day, AI is one of the most in-demand fields for employment worldwide. Several large organisations in India are leveraging AI, and they are constantly looking for employees and specialists in this industry.

An AI Engineer Salary in India is 9,01,800 INR per year, according to Glassdoor.com survey! AI Engineer salaries in India range from 3.4 lakh to 25.6 lakh per year, with an average yearly salary of 8.8 lakh, according to AmbitionBox!

According to glassdoor.com, AI Engineer Salary in Bangalore is 8,73,157 INR per year!
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Chennai is 4,03,008 INR on yearly.
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Hyderabad is 10,00,658 INR yearly.
Ambitionbox.com reported that the Artificial Intelligence Engineer Salary in Mumbai per year is 4,00,000 INR.
Ambitionbox.com reported that the Artificial Intelligence Engineer Salary in Pune per year is 9,00,000 INR.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Kochi ranges from 4,30,000 to 21,60,000 INR per annum.
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Kolkata is 8,49,230 INR yearly.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Noida ranges from 11,70,000 to 15,00,000 INR per annum.
A report by payscale.com states that an average Artificial Intelligence Engineer Salary in Indore as 4,32,920 INR per annum.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Jaipur ranges from 10,80,000 to 13,80,000 INR per annum.

Machine Learning Engineer

Who is an ML Engineer?

Machine learning engineering is a relatively new and fast-expanding discipline that rewards analytical thinkers and technical problem-solvers. It sits at the crossroads of data science and software engineering.

A machine learning (ML) engineer produces artificial intelligence (AI) systems that employ enormous data sets to design and build learning and prediction algorithms. A Bachelor’s Degree in a related discipline, such as Computer Science, is required. A graduate degree will enable you to gain extra knowledge and competence in preparation for managerial and senior positions.

Responsibilities of a Machine Learning Engineer

Machine learning systems, models, and schemes are designed, developed, and researched.
Data science prototypes are being studied, transformed, and converted.
Finding and selecting relevant data sets.
Statistical analysis and the use of the data to improve models.
As needed, train and retrain machine learning systems and models.
Identifying data distribution discrepancies that may have an impact on model performance in real-world scenarios.
Visualizing data to gain a better understanding.
Analyzing and rating the use cases for machine learning algorithms based on their likelihood of success.

Skills to Become an ML Engineer

Machine Learning Algorithms
Problems Solving
Python
SQL
Sturdy foundation in mathematics and statistics
Solid programming skills
Strong intuition about data

ML Engineer Salary in Top Cities

Now is the moment to get into machine learning if you’ve been thinking about it. Machine learning engineers are in great demand and this trend is projected to continue as machine learning becomes more complex and accessible.

According to Glassdoor.com, the average machine learning engineer salary in India is 8,42,482 INR per year. According to Payscale.com, the annual salary for a machine learning engineer in India is 732566 INR.

As of January 2022, India has around 29000 job vacancies for ML Engineers. (Source – LinkedIn)

According to Glassdoor, ML Engineer Salary in Bangalore is 8,83,521 INR per year. And Indeed.com reported an average salary of 9,13,643 INR for an ML Engineer in Bangalore.
According to Glassdoor, ML Engineer Salary in Chennai is 6,59,164 INR per year! And Indeed.com reported an average salary of 11,72,566 INR for an ML Engineer in Chennai.
According to Glassdoor, ML Engineer Salary in Hyderabad is 9,34,511 INR per year! And Indeed.com reported an average salary of 11,79,148 INR for an ML Engineer in Hyderabad.
According to Glassdoor, ML Engineer Salary in Mumbai is 8,57,992 INR per year! And Indeed.com reported an average salary of 13,27,764 INR for an ML Engineer in Mumbai.
According to Glassdoor, ML Engineer Salary in Pune is 6,77,282 INR per year! And Indeed.com reported an average salary of 4,32,797 INR for an ML Engineer in Pune.
According to Glassdoor, ML Engineer Salary in Kochi is 4,33,873 INR per year! And Indeed.com reported an average salary of 6,67,461 INR for an ML Engineer in Kochi.
According to Glassdoor, ML Engineer Salary in Kolkata is 8,49,230 INR per year! And Indeed.com reported an average salary of 3,19,249 INR for an ML Engineer in Kolkata.
According to Glassdoor, ML Engineer Salary in Noida is 7,91,789 INR per year! And Indeed.com reported an average salary of 10,04,850 INR for an ML Engineer in Noida.
According to Glassdoor, ML Engineer Salary in Indore is 6,15,673 INR per year! And Indeed.com reported an average salary of 3,17,679 INR for an ML Engineer in Indore.
According to Glassdoor, ML Engineer Salary in Jaipur is 6,83,241 INR per year! And Indeed.com reported an average salary of 1,89,916 INR for an ML Engineer in Jaipur.

c) Data Scientist

Who is a Data Scientist?

A data scientist is responsible for collecting, interpreting, and evaluating large amounts of data. Traditional technical roles such as mathematicians, scientists, statisticians, and computer specialists have developed into data scientists.

To work in data science, you must have at least a bachelor’s degree in a technical discipline such as computer science, mathematics, statistics, or economics. The people who ask inquiries about data are known as data scientists. They must also understand how to formulate those questions utilising analytic, statistical, machine learning, scientific, and other approaches and tools.

Responsibilities of a Data Scientist

Data should be gathered and data sources should be identified.
Create ideas and strategies to handle business difficulties by analysing a significant volume of organised and unstructured data.
Design data strategies in collaboration with team members and leaders.
Combine multiple algorithms and modules to detect trends and patterns.
Present data using a variety of data visualisation approaches and tools.
Investigate new technology and methodologies to develop distinct data strategies.
From data gathering to display, construct data engineering pipelines and end-to-end analytical solutions.
Assisting a team of data scientists, BI developers, and analysts with their projects as needed. Lead discussions and ensure that AI/ML solutions for business processes and results are feasible to deploy.

Skills for a Data Scientist

Technical Skills – Mathematics and statistics, machine learning, programming languages, data visualisation and data analysis, model deployment, database management, big data and software engineering.
Personal Skills – Analytical mindset, creative thinking, conversationalist, curiosity, storytelling, excellent verbal and written, presentation skills, independently work and understanding of business acumen.

Data Scientist Salary in Top Cities

Data is more valuable than you believe in today’s fast-paced society. Although data-centric roles have many characteristics, each has its own set of responsibilities and contributions to organisational growth. Data scientists are in high demand and can be rather costly to hire. According to the US Bureau of Labor Statistics, the number of job roles in the data science area will grow by nearly 28% by 2026, with roughly 11.5 million new positions.

According to Glassdoor.com, the average data scientist salary in India is 10,00,000 INR per year as of January 2022. According to Indeed.com, the average salary for a data scientist in India is 8,99,948 INR per year.

Following the Glassdoor report, Data Scientist Salary in Bangalore is 10,24,561 INR per year. And Indeed.com disclosed an average salary of 9,79,556 INR for a Data Scientist in Bangalore. As per Payscale.com, the average annual salary for a data scientist in Bangalore is 10,03,633 INR.
Under the Glassdoor report, Data Scientist Salary in Chennai is 10,41,972 INR per year. And Indeed.com disclosed an average salary of 11,14,738 INR for a Data Scientist in Chennai. As per Payscale.com, the average annual salary for a data scientist in Chennai is 8,05,518 INR.
Following the Glassdoor report, Data Scientist Salary in Noida is 9,47,792 INR per year. And Indeed.com disclosed an average salary of 8,69,095 INR for a Data Scientist in Noida. As per Payscale.com, the average annual salary for a data scientist in Noida is 8,07,536 INR.
Per the Glassdoor report, Data Scientist Salary in Hyderabad is 9,58,427 INR per year. And Indeed.com disclosed an average salary of 8,86,313 INR for a Data Scientist in Hyderabad. As per Payscale.com, the average annual salary for a data scientist in Hyderabad is 8,77,564 INR.
By the Glassdoor report, Data Scientist Salary in Mumbai is 10,04,786 INR per year. And Indeed.com disclosed an average salary of 9,86,501 INR for a Data Scientist in Mumbai. As per Payscale.com, the average annual salary for a data scientist in Mumbai is 8,23,692 INR.
Following the Glassdoor report, Data Scientist Salary in Pune is 9,47,792 INR per year. And Indeed.com disclosed an average salary of 5,64,157 INR for a Data Scientist in Pune. As per Payscale.com, the average annual salary for a data scientist in Pune is 7,80,92 INR.
Under the Glassdoor report, Data Scientist Salary in Kolkata is 8,36,013 INR per year. And Indeed.com disclosed an average salary of 9,11,021 INR for a Data Scientist in Kolkata. As per Payscale.com, the average annual salary for a data scientist in Kolkata is 6,90,000 INR.
Per the Glassdoor report, Data Scientist Salary in Indore is 6,05,412 INR per year. And Indeed.com disclosed an average salary of 4,09,113 INR for a Data Scientist in Indore. As per Payscale.com, the average annual salary for a data scientist in Indore is 6,24,000 INR.
Per the Glassdoor report, Data Scientist Salary in Kochi is 6,64,192 INR per year. And Indeed.com disclosed an average salary of 3,84,562 INR for a Data Scientist in Kochi. As per Payscale.com, the average annual salary for a data scientist in Kochi is 4,50,000 INR.
Under the Glassdoor report, Data Scientist Salary in Jaipur is 7,30,568 INR per year. And Indeed.com disclosed an average salary of 4,37,226 INR for a Data Scientist in Jaipur. As per Payscale.com, the average annual salary for a data scientist in Jaipur is 6,06,293 INR.

Robotics Engineer

Who is a robotics engineer?

A robotics engineer is a behind-the-scenes designer who creates robots and robotic systems that can accomplish tasks that people are either unable or unwilling to perform. Engineers who work in robotics serve as a link between mechanics, electronics, computer science, and cognitive psychology. A bachelor’s degree in computer science, engineering, or similar subjects is required to work as a robotics engineer.
The majority of robotics engineers’ time is spent establishing the strategies and methods needed to not only build but also operate robots. Some robotics professionals also desi gn the machines that assemble the robots.

Responsibilities of a Robotics Engineer

Robot construction, configuration, and testing.
Creating software systems to control their robotic systems, such as factory robots.
Creating automated robotic systems that are utilised to boost production and precision in a particular industry.
They’re analysing and evaluating the prototypes and robotic systems they’ve built. Because technology is continuously developing and advancing, this is typically a never-ending process.
Cost estimates and design calculations are reviewed and approved.
They’re providing technical support for the robotic systems they’ve built, and they’re also teaching robots how to walk.
Investigating the design, operation, and performance of robotic mechanism components or systems.

Skills for a Robotics Engineer

Maths and science
Programming languages
Teamwork
Complex to simple
Creativity at its best
Adapt to new technologies
Computer and software skills
Decision making
System thinking
Technology Design

Robotics Engineer Salary in Top Cities

The demand for robotics engineers is increasing every year, thanks to the advent of machine learning (ML) and related technologies. In India, being a Robotics Engineer is regarded as a high-level professional achievement. Robotics is a diverse industry that necessitates a diverse set of people to complete the task. It’s a new field in which private manufacturers, toymakers, the military, and government research organisations are all interested. The future of robotics engineering appears to be beaming.

Payscale had detailed that the average salary for a robotics engineer in India is 4,33,102 INR per year. Whereas Indeed.com disclosed the average robotics engineer salary in India as 2,03,909 INR per year. Ambition box data revealed that the salary obtained by a robotics engineer in India can range from 1.8 to 8.4 lakh per annum, with an annual salary of 3.5 lakh per annum.

Glassdoor.com put out that the average robotics engineer salary in Bangalore is 6,40,279 INR every year. Payscale records suggest that a robotics engineer in Bangalore secures a yearly salary of 4,17,517 INR. Indeed.com had published the average salary for a robotics engineer in Bangalore as 6,69,538 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Chennai is 3,52,824 INR every year (29,402 INR monthly). Payscale records suggest that a robotics engineer in Chennai secures a yearly salary of 3,93,069 INR. Indeed.com had published the average salary for a robotics engineer in Chennai as 3,09,743 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Hyderabad is 5,54,100 INR every year (46,175 INR monthly). Payscale records suggest that a robotics engineer in Hyderabad secures a yearly salary of 3,73,000 INR. Indeed.com had published the average salary for a robotics engineer in Hyderabad as 2,23,071 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Mumbai is 1,93,044 INR every year (16,087 INR monthly). Payscale records suggest that a robotics engineer in Mumbai secures a yearly salary of 40,00,000 INR. Indeed.com had published the average salary for a robotics engineer in Mumbai as 2,57,360 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Pune is 3,49,848 INR every year. Payscale records suggest that a robotics engineer in Pune secures a yearly salary of 2,75,000 INR. Indeed.com had published the average salary for a robotics engineer in Pune as 2,41,258 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Kochi is 6,40,873 INR every year. Indeed.com had published the average salary for a robotics engineer in Kochi as 3,35,049 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Kolkata is 7,65,144 INR every year (63,762 INR monthly). Payscale records suggest that a robotics engineer in Kolkata secures a yearly salary of 10,00,000 INR. Indeed.com had published the average salary for a robotics engineer in Kolkata as 2,16,351 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Noida is 6,77,584 INR every year. Indeed.com had published the average salary for a robotics engineer in Noida as 7,88,398 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Indore is 7,00,883 INR every year. Indeed.com had published the average salary for a robotics engineer in Indore as 2,65,731 INR year by year.
Indeed.com had published the average robotics engineer salary in Jaipur as 2,81,677 INR year by year.

Business Intelligence Developer

A business intelligence developer is an engineer who creates, delivers, and maintains business intelligence interfaces. Because the primary purpose of this position is to solve problems, BI developers must deal with data on a regular basis and present it in a form that human brains can understand.

Most BI developer jobs necessitate a technical background as well as extensive professional experience in other business domains. This was also an excellent alternative for a career shift, particularly for individuals interested in moving into the IT industry.

The only difference between a BI engineer and a BI developer is that a BI engineer is responsible for not just transforming data into vital information or knowledge that can be utilised to make better business choices, but also for building the entire BI system (along with others).

Responsibilities of a Business Intelligence Developer:

Determine business data reporting and analysis requirements in collaboration with clients and Business Analysts.
Assist in the creation of business reports for internal and external customers to aid in corporate decision-making.
Assist with data warehouse system data administration, modelling, and integration operations.
To fulfil data reporting and analysis goals, use business intelligence tools.
To achieve company objectives, support the establishment of business intelligence standards.
Enhancements and modifications to business intelligence processes should be recommended.

Skills for a Business Intelligence Developer

Data Analysis.
Problem-solving.
Specific industry knowledge.
Communication skills.
Advanced vision and attention to detail.
Business acumen.
Knowledge of budgeting and cost monitoring

Business Intelligence Developer Salary in Top Cities

According to projections, the business intelligence market will be worth $22.8 billion by the end of 2020, and demand for BI analysts would grow by 21% between 2014 and 2024, according to the US Bureau of Labor Statistics. A career in business intelligence has the potential to be both interesting and lucrative.

According to LinkedIn, the average business intelligence engineer salary in India is 12,00,000 LPA. According to payscale statistics, the annual compensation for business intelligence developers in India is 5,84,211 INR. The average business intelligence developer salary in India is 7,90,755 LPA, according to indeed.com.

The Glassdoor statistics showed that an annual business intelligence developer salary in Bangalore is 6,01,395 INR. Payscale detailed the business intelligence developer salary in Bangalore as 6,00,025 per annum. Indeed.com revealed that the salary for a business intelligence developer in Bangalore is 9,38,908 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Chennai is 5,40,320 INR. Payscale detailed the business intelligence developer salary in Chennai as 5,76,112 per annum. Indeed.com revealed that the salary for a business intelligence developer in Chennai is 7,39,244 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Hyderabad is 6,31,480 INR. Payscale detailed the business intelligence developer salary in Hyderabad as 495829 per annum. Indeed.com revealed that the salary for a business intelligence developer in Hyderabad is 8,04,117 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Mumbai is 5,27,728 INR. Payscale detailed the business intelligence developer salary in Mumbai as 517390 per annum. Indeed.com revealed that the salary for a business intelligence developer in Mumbai is 8,92908 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Pune is 6,78,906 INR. Payscale detailed the business intelligence developer salary in Pune as 608913 per annum. Indeed.com revealed that the salary for a business intelligence engineer in Pune is 7,95262 LPA.
The Ambitionbox.com statistics showed that an annual business intelligence developer salary in Kochi is 5,70,000 INR. Payscale detailed the business intelligence developer salary in Kochi as 600000 per annum. Indeed.com revealed that the salary for a business intelligence engineer in Kochi is 5,39,999 LPA.
Indeed.com revealed that the salary for a business intelligence developer in Kolkata is 6,24,883 LPA. Payscale detailed the business intelligence developer salary in Kolkata as 523592 per annum.
Indeed.com revealed that the salary for a business intelligence developer in Noida is 5,08,162 LPA. Payscale detailed the business intelligence developer salary in Noida as 523592 per annum.
The ambitionbox.com statistics showed that an annual business intelligence developer salary in Indore is 5,08,162 INR.
The ambitionbox.com statistics showed that an annual business intelligence developer salary in Jaipur is 4,20,000 INR. Payscale detailed the business intelligence developer salary in Jaipur as 420000 per annum.

AI job roles have been steadily increasing in recent years and will continue to develop at a rapid pace in the future. Data engineer, software engineer, full-stack developer, research scientist, big data engineer, AI specialist, Robotics engineer, computer vision engineer, are just a few of the jobs available in AI. 57 percent of Indian businesses want to hire the right people to match the current market sentiment. The incomes of applicants who successfully migrated into AI professions have increased by 60-70 percent on average.

7. Challenges in Artificial Intelligence

Artificial Intelligence (AI) is one of the most important technologies for transforming industries and solving global challenges. As the year progresses, more AI and Machine Learning algorithms and programmes are being used in manufacturing, healthcare, banking, and security, as well as eCommerce, social media, and mobile application platforms.

While AI possesses advantages, it does have disadvantages. Consider the following examples:

There is a scarcity of information about AI – Many misconceptions about Artificial Intelligence abound, such as that only large corporations such as Google, Facebook, and others possess AI capabilities, or that AI can become smarter than humans, displacing human labour and destroying the world! Because of a lack of understanding of how Artificial Intelligence is used in day-to-day business operations, smaller and mid-sized businesses are finding it difficult to adopt it successfully.
AI calls for greater computing power – Artificial Intelligence necessitates more processing power Artificial Intelligence is becoming increasingly popular, but it necessitates a significant amount of computing power to train the AI.
The demand for AI is strong, but there aren’t enough people to fill in the positions.
AI prejudice – Even AI systems are produced by man, who has a biased nature built into them. As a result, AI outputs can be prejudiced and not impartial, thereby leading to skewed conclusions.
Machines can only be trained to perform specific jobs in specific settings; they cannot think and come up with solutions that can be applied to other similar situations, as men can.
AI implementation is an expensive endeavour – MNCs such as Google, Apple, and Microsoft can easily afford the high cost of AI implementation because they have their budget and wing dedicated to AI setup. This isn’t the situation when it comes to small and medium-sized companies with limited budgets.
Organizing data – Even though a massive amount of data is generated every day, it is all unstructured and ambiguous, necessitating careful attention and analysis to generate significant insights that will aid the company’s growth. For giving the desired output, AI systems only function with structured and qualitative input. The algorithm becomes more sophisticated and operates effectively as the amount of relevant data expands. When the AI system isn’t given enough high-quality data, it fails terribly.
To implement AI technologies, a highly educated and expensive staff is required – including data scientists, robotics engineers, machine learning engineers, AI experts, and engineers, to mention a few. Because of their limited budgets, small and medium-sized firms cannot afford to hire enough workers to meet the project’s requirements.
Ethical Challenges – Ethics and morality are two fundamental AI concerns that have yet to be solved. The technological grooming of AI bots to the point that they can seamlessly replicate human conversations is making it more difficult to tell the difference between a computer and a real customer service person.
Legal Issues – A corporation may face legal issues as a result of an AI application that uses an incorrect algorithm and lacks data control. Another of the most difficult Artificial Intelligence problems that a developer must face in the real world is this one. A faulty algorithm created with erroneous data could have severe effects on a business’s bottom line.

On to the conclusion…

It’s hard to dispute that technological improvements have made our lives better. Despite the hurdles, which may be overcome, AI is soaring to new heights. Because the demand for skilled AI workers is increasing, now is the perfect time to consider a career in AI. You’ll need to upskill yourself with the necessary abilities, preferably from a globally recognised institution, and keep up with the newest DeepTech advances.

9. FAQ:

What is artificial intelligence (AI)? Give specific examples.

Artificial intelligence is essentially the process by which a computer may act on data through statistical analysis, allowing it to understand, analyse, and learn from data using specially built algorithms. This is a computer-assisted procedure. Artificially intelligent robots can recall patterns of behaviour and alter their responses to conform to or encourage changes in those behaviours. Facial recognition, auto-correct and text editors, search recommendations, digital assistants (Google, Siri, Alexa), e-payment, social media, chatbots, and smart home helpers are just a few examples.

2. Where does AI come into play?

AI is used in almost every industry, including retail, manufacturing, finance, banking, healthcare, education, travel, sports, government, and cyber security.

3. How important is AI?

Its relevance arises from the fact that it simplifies our lives. These technologies, which are meant to reduce human labour as much as possible, help humans enormously. They are frequently able to work in an automated fashion. As a result, manual intervention is the last thing that may be asked or visible while operating parts associated with this technology.

4. What are the benefits of artificial intelligence?

Human Error is Reduced
Instead of Humans, he takes risks
Available 24 hours a day
Assisting in Repetitive Tasks
Assistive Technology
Decisions made in less time
Applications on a daily
Innovative Concepts

5. Is artificial intelligence (AI) limited?

Only humans are capable of conceiving and building optimal machines due to their cognitive ability and creative, associative intelligence. As a result, machine learning can only improve learning ability and speed.

6. What is AI’s purpose?

Artificial intelligence’s overall research goal is to develop technology that allows computers and machines to work intelligently.

7. Who is the inventor of artificial intelligence (AI)?

In 1956, John McCarthy, often known as the father of artificial intelligence, invented the phrase AI.

8. Is AI’s future promising?

Artificial intelligence is having an impact on the future of practically every industry and individual in the world. Artificial intelligence has fueled the development of technologies like big data, robots, and the Internet of Things, and it will continue to do so in the conceivable future. According to IDC, the Indian AI software market would increase at a CAGR of 18.1 percent from USD 2,767.5 million in 2020 to USD 6,358.8 million in 2025.