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 jobs available these days.
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.
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.
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. 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.
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.
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. 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.
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 career opportunities.
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.
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.
4. Machine Learning Engineer
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.
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.
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.
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.
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 demand for AI data analysts is quite stable but their future cannot be ascertained.
Natural Language Processing
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.
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.
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 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.
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 PG Diploma in Machine Learning and AI offered by upGrad is definitely going to assist you in sharpening your AI skills.
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.
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.