Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons of jobs is justifiable. A career in AI looks more promising than any other job available these days. Artificial Intelligence is, therefore, a lucrative job opportunity that will help in the advancement of the career opportunities of the aspirants massively.
But, before one gets to know about the career opportunities that are enclosed in the field of Artificial Intelligence it is important to know what Artificial Intelligence is and what AI careers are that you can pursue to find the best jobs in AI and take the lead in life.
Employers need AI talent to fulfil the company’s technological requirements. Thus, a career in AI is not only attracting the job-seekers towards it but is witnessing immense growth. To establish a career in AI, job-hunters need to possess relevant technical skills. This will therefore help them to identify the accurate candidate possessing the skillset to work in the field of job roles in Artificial Intelligence.
Abundant AI career opportunities are present owing to wide applications in different fields. It is also a matter of confusion among many AI enthusiasts. Thus, we have compiled a list of promising AI career opportunities.
Therefore, this will help you gain a keen insight into what courses to choose from to land jobs in AI.
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Career Opportunities in Artificial Intelligence
1. Big Data Engineer
The role of a Big Data Engineer is to create an ecosystem for the business systems to interact efficiently. Their primary task is to build and effectively administer big data of an organization. They also have to carry out the function of obtaining outcomes from big data in a robust manner.
Being a big data engineer will fetch you a good salary when compared to other AI roles. An average salary of a Big Data Engineer is Rs.8.7LPA. Hence, it could be understood that these jobs in Artificial Intelligence are bound to provide you with massive salary opportunities.
In Spark and Hadoop systems, a big data engineer deals with preparing, managing, and establishing a big data environment. The role is suitable for those who are keen to play with new technical tools and can step above the relational database box. Be it for freshers or for people who already have a working knowledge of Big Data, this is a perfect field of work for an individual.
This will also elevate the scope and the learning opportunities of different branches of Machine Learning Skills, which are one of the major subsets of careers in AI.
Programming languages like Python, R and Java are essential in building your career in AI as a big data engineer. Skills related to SQL and Apache Spark enhances your chances of grabbing the relevant career opportunity. Aspirants should have some proper insights on data migration along with data visualization and mining. This will thus help in creating concrete knowledge for the people about Artificial intelligence and modifications to create these programs hand-in-hand.
Applicants who have a PhD in the field of Computer Science or Mathematics are given more preferences. It is quite evident that one can flourish in their career in AI by being a Big Data Engineer. You can also check out upGrad’s AI courses to inch closer to your AI career goal.
2. Business Intelligence Developer
The primary responsibility of a Business Intelligence Developer is to consider the business acumen along with AI. They recognize different business trends by assessing complicated data sets. This is done with the help of gaining simulated data that has been fed beforehand to the AI and obtaining concrete results out of it. This helps in providing them with brand recognition and brand awareness in a much more robust technique. They help in swelling the profits of a company by preparing, developing and nourishing business intelligence solutions.
Business profitability and efficiency are the two significant factors of development considered by them. They also assist in optimizing different processes and workflow across the organization. Their demands have intensified recently due to their capabilities in dealing with complicated data of cloud-based platforms.
This provides a keen insight into the original standpoint of the business. This will leave room for improvement and help them understand what are the remedies required to be made for an appropriate business model.
One who is aware of computer programming and data sets can acquire this position. A formal bachelor’s degree in the field of computers, mathematics or engineering is suitable to land you in a job. The problem-solving strengths and analytical capabilities of the applicants should be high.
Sound knowledge of SQL servers and queries along with data warehouse designing is needed while pursuing this career option. The role also pays quite well and their demands won’t diminish in the near future. This makes it one of the major AI careers opportunity. The average salary of a Business Intelligence Developer is Rs.6.6LPA. This is a tad bit less than a Big Data Engineer, but there are tons of room for improvement and development to have successful careers in AI.
3. Data Scientist
Data scientists assist in gathering relevant data from multiple sources for the purpose of assessing it to gain constructive inferences. The inferences gained are influential in tackling various issues concerned with the business. Depending upon different data patterns, past and present information, data scientists make various predictions.
It is a robust system that helps analysts analyze the root cause and the drawbacks that are caused in the business and how to mitigate and restrain them to happen from in the future, making it one of the most reliable Artificial Intelligence careers.
The performance of the business is positively impacted due to a data scientist. Job-seekers are required to be equipped with modern tools like Spark, Hadoop, Pig or Hive while pursuing this career option. The candidate must be comfortable using programming languages like Python, Scala or SQL.
In terms of education, the applicant should hold a master’s degree in Mathematics or Computer Science. Any advanced degree is likely to increase the chance of getting the job. Significant experience in the field of machine learning is mandatory.
To interact with the managers, data scientists should possess sound communication skills. Their analytical abilities should be outstanding. Many large technical firms need data scientists to carry out important tasks for the growth of the company. A career in AI thus opens the door to be a Data Scientist.
The average salary of a Data Scientist ranges from Rs.8.7LPA. The career is very lucrative and with the increment of several certificate courses on AI has increased the job roles in Artificial Intelligence immensely. If you possess the above skills, then you are a perfect cut-out for the job.
4. Machine Learning Engineer
Machine Learning (ML) is known to be a subset of Artificial Intelligence. It runs simulations with the different data that has been given and generate accurate results. Machine learning engineers are involved in building and maintaining self-running software that facilitates machine learning initiatives. They are in continuous demand by the companies and their position rarely remains vacant. They work with huge chunks of data and possess extraordinary data management traits.
They work in the areas of image and speech recognition, prevention of frauds, customer insights, and management of risks. To become a machine learning engineer, one must have sound command in applying predictive models dealing with magnificent data. Programming, computing, and mathematics are essential to becoming successful as a machine learning engineer. The average salary of a Machine Learning Engineer is about Rs.7.34LPA.
A master’s degree in Mathematics or Computer Science is preferred. Python, R, Scala, and Java are the required technology stacks. Having in-depth knowledge about machine learning algorithms, neural networks and deep learning is highly beneficial.
Sound familiarity with software development tools, cloud applications, and excelling coding skills gives you an added advantage. Moreover, you can also make use of upGrad’s top-notch AI and ML courses to sharpen your skills. If you possess the above skills then these jobs in Artificial Intelligence are bound to bring you good fortune.
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5. Research Scientist
Research scientists undertake efforts in performing extensive research dealing with applications of machine learning and machine intelligence. A research scientist is one who has gained expertise in the field of applied mathematics, statistics, deep learning, and machine learning.
The average salary of a Research Scientist is Rs.7.8LPA.
Applicants are expected to have a PhD degree or advanced master’s degree in mathematics or computer science. The salary of a research scientist is quite high and organizations recruit those who have a good experience in their AI career. Significant knowledge of Natural Language Processing (NLP) and Reinforcement Learning is essential while applying for the role.
Aspirants who possess insights regarding parallel computing, computer perception, benchmarking, graphical models, and distributed computing are favoured. It is quite evident that the importance of research scientists will not diminish in the next generation.
The courses offered by upGrad are inclined in such a manner that learners can develop skills with ease. AI courses are surely going to give a tremendous boost to your career in AI.
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6. AI Data Analyst
The major function of an AI data analyst is to perform data mining, data cleaning, and data interpretation. By cleaning data, requisite data is collected to carry out data interpretation. Any sort of useless data is discarded by them so that it does not hamper the data interpretation process.
With the help of statistical tools and methods, inferences are drawn from the data by an AI data analyst. To become an AI data analyst, you are required to possess a bachelor’s degree in mathematics or computer science.
A comprehensive understanding of regression and the ability to utilize MS Excel is essential to acquire this position. In comparison to other AI roles, the salary is quite low for an AI data analyst. The average salary of Data Scientists is Rs.4.7LPA.The demand for AI data analysts is quite stable but their future cannot be ascertained.
7. Product Manager
In the field of AI, the duty of a product manager is to resolve challenging problems by strategically collecting data. You should possess the skill of identifying relevant problems that obstructs the business proceedings. The next step is to get hold of related data sets to facilitate data interpretation.
After data interpretation, the product manager is required to estimate business impacts from the outcomes of data interpretation. Each organization needs a product manager, whose demands have skyrocketed these days.This is one of the most high-paying jobs in Artificial Intelligence. The salary is about Rs.17.5LPA on average.
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In-demand Machine Learning Skills
8. AI Engineer
AI engineers are problem-solvers who develop, test and apply different models of Artificial Intelligence. They effectively handle AI infrastructure. They make use of machine learning algorithms and understanding of the neural network to develop useful AI models.
One can get business insights with these models and this helps the company to make effective business decisions. Undergraduate or postgraduate degrees in the field of data science, computer science or statistics are mandatory. Any kind of certifications on ML or data science adds to the advantage.
Proficiency in programming languages, such as Python, R or C++, is essential. The applicants should have a strong grasp in statistics, NLP, applied mathematics, and analytics. The pay scale of an AI engineer is quite good due to the role’s surging demands. The average salary is about Rs.6 LPA, which ranges less based on other opportunities in Artificial Intelligence careers.
9. Robotics Scientist
A reduction in jobs will indeed take place due to the emergence of robotics in the field of AI. Conversely, jobs will also rise as robotics scientists are in incessant demands by major industries for programming their machines. The robots will help in carrying out certain tasks efficiently.
The candidate should have a master’s degree in robotics, computer science or engineering. The average salary of a Robotics Engineer is about Rs.4.48LPA. The median salary for a robotics scientist is quite high. Although automation is favoured by robots, there should be some professionals to build them. Thus, the risk of losing jobs is minimized.
Companies that make use of AI
The top 10 companies make use of AI and are recruiting for the same –
It is an apt time for professionals who want to jump into the field of AI and make their career out of it. Renowned startups like Argo AI are also hiring for significant Artificial Intelligence roles.
Vast Applications of AI
- Healthcare: Proper diagnosis and treatment are facilitated by introducing AI in healthcare.
- Education: A suitable learning environment is furnished to the students by utilizing AI.
- Sports: With advanced AI technologies, athletes can expand their capabilities.
- Agriculture: Maximum yield is possible by AI as it helps in developing the perfect farming environment.
- Construction: Buildings can be constructed more safely and efficiently by the incorporation of AI.
- Banking: Chat-bot assistance, fraud detection, and enhanced payment methods are some of the positive outcomes of AI.
- Marketing: The sales target can be effectively achieved by making use of predictive intelligence along with machine learning.
- E-commerce: Effective warehouse operations, good product recommendations, and fraud prevention are some of the fruits of AI.
Future of AI
According to the Gartner report of 2019, there has been a 270% growth in the applications of AI from 2015 – 2019. Thus, the importance of AI is bound to climb high in the future. AI career opportunities are drastically reaching great heights. However, as per the Gartner Report in 2021, the scope of AI has been increasing rapidly. People are much inclined to do a job in this particular field with the increase in the courses of understanding the principles of AI. Nowadays, 70% of organizations are optimizing AI networks to increase their reach globally at a higher scale.
If you want to switch to AI, you should not hesitate and try your hands on it. Moreover, roles associated with AI also pay quite high.
Learn with upGrad AI Courses
Numerous benefits of learning AI these days open up doors to ample AI career opportunities. India’s trusted online higher education company, upGrad has come up with its own courses that deal with AI. The Executive PG Program in Machine Learning and AI offered by upGrad is definitely going to assist you in sharpening your AI skills.
You can also check IIT Delhi’s Executive PG Programme in Machine Learning in association with upGrad. IIT Delhi is one of the most prestigious institutions in India. With more the 500+ In-house faculty members which are the best in the subject matters.
These two courses are the best-selling courses in the country. You won’t regret taking up any of the courses. The skills you will develop by enrolling in these courses will give an explosive boost to your career in AI.
The curriculum is suitably designed by top experts of the industry to flourish your career in AI. You don’t have to quit your job and can rather acquire a post-graduate diploma or masters easily. It also has an IIIT Bangalore and Liverpool John Moores University alumni support.
Moreover, these courses also give way to AI career opportunities in companies like Microsoft, Uber, PwC, etc. upGrad provides added benefits of outstanding learning support, doubt resolution, and networking. Both these courses are going to kick start your career in AI.
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So, what are you waiting for? You can grab the available AI career opportunities by enrolling in one of these courses. The time has come for you to embark on the next step of your professional life and establish a career in AI.
If you’re interested to learn more about machine learning & AI, check out IIIT-B & upGrad’s PG Diploma in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms.
What job will I get if I study artificial intelligence?
Because AI is so specialized and sophisticated, it necessitates a solid understanding of computer science and mathematics. You must have an unquenchable appetite for information. The knowledge you obtain now may or may not be useful in 3-5 years. You may work as a data scientist, data analyst, data engineer, or data developer if you prefer the technical side of things. You might lead a team of data scientists or own an AI product after learning how AI will be used in your product if you don't want to be on the technical side of things.
How to get into AI from a non-IT background?
If you come from a non-IT background, you may bring a wealth of domain knowledge to the table that AI may use to better the system. You may, however, leverage your subject knowledge and new talents to gain an advantage. Let's go over the skills you should learn before or during the AI transition. To begin, master Python, the most basic programming language. Discover the basics of database management systems. An understanding of mathematics is required for Machine Learning, Deep Learning, and Neural Networks. Learn about Random Variables, Probability, and Basic Statistics. Algorithms for Machine Learning are also required.
How to switch to AI as a working professional?
If you are already employed in the IT field, recognized colleges can provide you with the necessary knowledge and abilities in Machine Learning and Deep Learning. The learning curve might be a little lengthier and steeper if you are not from the IT business. You'll need to study computer science fundamentals, including Linear Algebra, programming languages, database systems, big data platforms, machine learning methods, neural networks, and natural language processing, at the very least. A master's degree in computer science will help you solidify your newfound knowledge.
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