Owing to the rapid growth in the technology space, there has been a significant interest in artificial intelligence both as a technology as well as a creator of jobs! The number of jobs in artificial intelligence continues to grow as more and more companies take the digital route, but the matter of fact remains that there are not enough candidates to fill up these positions. This has happened because there is not enough interest from job seekers to level off the demand that has been created by employers.
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While that may not be an ideal situation for the industry itself, it is certainly good news for those who are looking to take their careers in a more lucrative as well as enriching direction! The data from various sources like Indeed indicates that these positions are likely going to stay vacant for several years to come – so it’s never too late to start your journey towards these jobs!
What should therefore be the first steps taken by someone who wishes to become an Artificial Intelligence Engineer? And what are the jobs that one can potentially have within the vast field of AI? We’re going to be covering all of this in this article – and more!
To begin with, if you’re thinking about becoming an AI specialist, it is highly likely that an organisation will be looking for at least a bachelor’s degree in mathematics or computers to start off with, but it is unlikely that you will be able to progress beyond entry-level jobs with just a bachelor’s degree.
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For a better shot at employment opportunities, you will need additional certification which cover the following areas:
- Bayesian networking (including neural nets)
- Cognitive science theory
- Computer science (you should ideally be able to code using popular and in-demand programming languages)
- Physics
- Robotics
- Engineering
- Various kinds of mathematics (algebra, calculus, logic and algorithms, probability, and statistics)
If you already have started working towards becoming a software engineer, you can easily transition towards becoming an artificial intelligence engineer by taking up courses with an AI focus, which can either be in a physical college or on an online learning platform.
What kind of jobs will be available for you if you do so? Let’s take a look!
The following article will give you a brief overview of machine learning, and its growing importance in today’s world. It will also talk about some of the top AI jobs currently available in the market.
What is Machine Learning?
Before we delve deeper into the various machine learning and artificial intelligence jobs that are currently available in the market, let’s take a look at what machine learning is, and why it is important. To put it simply, machine learning can be described as a type of Artificial Intelligence, with the help of which you can let software applications deliver more accurate results, without the need for specific programming them to do so. Machine learning basically makes use of past data as input to predict new values as output. Typically, there are four basic approaches to machine learning: supervised, unsupervised, reinforcement, and semi-supervised learning. Based on the data, scientists predict future actionable insights while applying the above-mentioned approaches accordingly.
Why Do We Need Machine Learning?
In today’s technology-driven world, data influx is leading to its smart utilization, which in return, fuels the machine learning industry to learn human needs and ways better. This also has led to the opening of several new doors for machine learning jobs, which we will talk about shortly. Some of the leading companies in the world, such as Facebook, Google, and Uber, among others, are heavily relied on Machine Learning for their business operations. Whether the development of new products or getting a comprehensive view of the current trends in customer behaviour, Machine Learning does it all. Perhaps, for this reason, various industries worldwide have quickly shifted to this technology over the last few years.
Take the example of customer relationship management software that heavily uses Machine Learning algorithms to analyse emails, and sort out the most important ones, so that the sales team can respond to them accordingly. Furthermore, machine learning is also used in Business intelligence and analytics to identify different data points, patterns, and anomalies. Self-autonomous cars are also some very good examples of machine learning, as they can now detect a partially visible object by themselves and then alert the driver accordingly.
The list of use cases of Machine learning is endless. What’s important is that, in a very short period, its demand has increased manifold, which has also led to a huge number of openings for various artificial intelligence jobs, reflecting the significance of obtaining leading artificial intelligence courses, as offered on upGrad.
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1. Machine Learning Engineer
Highly sought after due to the technical nature of their work, they command high salaries (between 10 and 12 LPA), and are mostly responsible for making sure that machine learning projects function efficiently. Read: Machine Learning Salary in India
This role is highly compatible with those who have some experience in data science as well as applied research – but still, it is not essential. A machine learning engineer is central to AI projects because everything else is structured around their work. You will also require to have a thorough understanding of multiple programming languages as well as AI programming – this is essential.
Your tasks will involve your ability to apply predictive models and make efficient use of natural language processing as you deal with massive datasets. The more experience you have with agile development practices as well as software development IDE tools like IntelliJ and Eclipse the better will be your chances of getting hired.
You will also require an in-depth practical knowledge of the following programming languages:
- Scala
- Python
- Java
Your resume will be further strengthened if you have analytical skills, have experience in neural networks and deep learning, as well as possess necessary cloud applications.
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2. Data Scientist
As a data scientist, you will be dealing with extremely large and complex datasets. You will be doing this by using both machine learning as well as predictive analytics. You will also need to be able to create algorithms that enable the gathering as well as the cleaning for such a huge amount of data, thereby preparing for it to be analysed.
As a data scientist, you will be making anywhere between 8 to 10 LPA to start off with, and then as you proceed further in your career as there will be more opportunities to earn higher sums. Read: Data Scientist Salary in India
To get a start in this field, you will need to be familiar with the following big data tools and platforms such as:
- MapReduce
- Hive
- Pig
- Spark
- Hadoop
You also need to have a significant amount of experience in statistical computing as well as programming languages such as
- Scala
- Perl
- SQL
- Python
Often, data scientists require to be highly educated, commanding at least a master’s degree or above in computer science. If you specifically wish to be an AI developer within the data science field, you might require an advanced degree in computer science, otherwise any higher degree will suffice, whether it’s electrical engineering or mathematics.
It will work better for you if you have at least two years of experience in machine learning prior to applying since there is some degree of overlap in terms of knowledge. Moreover, any experience with cloud tools like Hadoop and Amazon’s S3 will add a layer of sheen to your CV.
In addition to the technical requirement, you will also need strong communication skills – a must for any job – as well as capabilities of putting across the insight you’ve reached in terms that make sense to stakeholders.
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3. Business Intelligence Developer
As a business intelligence developer your primary goal will be to analyse complex datasets and to identify business as well as market trends in such a way as to boost your organisation’s revenue. Using cloud-based data platforms, your task will be design, model, as well as maintaining complex data. Given that you will play a monumental role in boosting your organisation’s profitability as well as its efficiency, you will earn anywhere between 7 to 9 LPA when you first start out.
Unlike other jobs on this list, a BI developer typically only requires a bachelor’s degree to be eligible for it. That being said, however, it will still be beneficial for you if you have some on-the-job experience as well, and if you have a few certifications as well, then there’s nothing quite like it! An ideal candidate would, therefor, have demonstrable experience in data mining, data warehouse design, SQL Integration Services, SQL queries, SQL Server Reporting Services, as well as BI technologies.
As newer industries are being continually impacted by business intelligence developers, the demand for the role will continue to grow. In non-technical skills, a combination of hands-on problem-solving skills as well as practicable communication will go a long way as well.
4. Research Scientist
Possibly one of the most sought after jobs within the field of Artificial Intelligence, as a research scientist you will have to be an expert in multiple disciplines of AI, including computational statistics, machine learning, deep learning as well as applied mathematics.
To get hired for this job title you will need extensive experience in graphical models, natural language processing, graphical models, and reinforcement learning. Given that this job is in high demand, the salary ranges anywhere between 9 and 11 LPA.
Much like data scientists, research scientists are also expected to possess advanced degrees – master’s or above – however, a lot of companies are not insistent on this fact and will accept any advanced degree in a related field. For this to happen, though, there needs to be significant industry and job experience.
For your CV to make an impression on potential employers, you must have in-depth knowledge of parallel computing, machine learning, distributed computing, artificial intelligence, and benchmarking.
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5. Big Data Engineer/Architect
Among the highest paying jobs in the artificial intelligence industry, Big Data Engineers or Architects make anywhere between 12 to 16 LPA at the beginning of their journey, with plenty of scope for growth as they continue working.
Given that this role is one of the highest on the hierarchy, and involves more facilitation in the strictest sense, than participation, it is preferred that the candidates for this role already have a Ph.D. in computer science or mathematics (or a related field).
Big Data Engineers and architects develop and plan the entire big data environment on Spark and Hadoop systems. If you want to secure a job as a Big Data Engineer then you need to have experience in data mining, data migration, as well as data visualisation, in addition to having demonstrable experience with Java, Python, C++, and Scala.
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6. Software Engineers
Software engineers are mainly responsible for building software products for AI applications. They always have to stay up-to-date with the latest artificial intelligence technologies, and aid data scientists and architects in developing and maintaining various useful software. Furthermore, software engineers also look after some very crucial tasks such as API management, writing code, and quality control among others. If you wish to land a job as a software engineer, you need to have an official degree in engineering, physics, mathematics, computer science, or statistics. Certification in any artificial intelligence course can also be seen as an added benefit. Software engineers are also expected to have excellent programming or analytical skills.
7. Data Analyst
Data Analyst is yet another one of the most sought-after AI jobs, currently. Since the introduction of Artificial Intelligence, there has been a switch in the role of data analysts, as they are no longer required to perform mundane tasks such as processing or analyzing data to gain valuable insights. The main role of a data analyst now is to prepare data for machine learning models and then build meaningful reports from the results. In order to land a job as a data analyst you need to have relevant experience in SQL, Python and other crucial database languages. Furthermore, every Data analyst also must have experience in visualizing tools, such as PowerBI, and Tableau, among others.
Conclusion
Prepare for the journey ahead in your career with an advanced certification course, and you will certainly land a job of your choice within the artificial intelligence field!
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How much do artificial intelligence jobs pay?
Artificial intelligence, or AI, refers to a computational process that imitates human behavior, more commonly known as machine learning, which includes deciding what responses to make and what information to gather. Depending on the organization, artificial intelligence jobs can pay up to $190,000 per year. Currently, many AI-related jobs are in the banking, software and technology industries. Most A.I. engineers earn between $80,000 to $130,000 a year. A.I. engineers who have at least five years of experience in the field can easily earn $150,000 or more per year. Some of the highest paid A.I. engineers in the world make more than $200,000 per year.
Is artificial intelligence a good career?
This is a new, hot sector and has been growing fast in the last few years. A lot of people working in technology want to be in this field to create the future. If you are good at this field, it will give you the chance to grow and improve a lot, and the rewards will be great. Not only is the salary high, the job security is amazing. If you are really good at it, then you will have a job for a long time. You can be sure that there will be demand for artificial intelligence for years to come.
Is artificial intelligence in demand?
Yes, it is. Along with the progress of AI, people are creating more and more intelligent machinery to assist us in our everyday lives. However, this is not the only thing where AI is here to stay. As it progresses further, it’s bound to get integrated into more and more services. Artificial intelligence will probably turn into a large number of different categories, like speech recognition, language translation, face recognition, recommendation systems, and others.
How difficult is it to learn Artificial Intelligence in 2022?
Learning AI is as simple as learning any other modern technology. If you make a rigid plan, get all the required learning resources, and start learning, it will take you only a couple of months to properly grasp the fundamental concepts and apply them to basic projects. All it takes to get good at any technology is to keep practicing it until you’re confident enough to apply for a job and work in collaboration with other experts. Get started by researching relevant webinars, YouTube videos, courses, blogs, etc., and taking down notes as you go through them.
Why should you learn Artificial Intelligence?
Artificial Intelligence is one of the most trending and in-demand technologies of 2022. As more companies go digital, the number of Artificial Intelligence Engineer jobs is rising as well. Because it is a comparatively new field, there are not enough qualified candidates which make it lucrative for people who want to build their career in the field of AI. The future is going to be something way beyond our imagination, and AI will play a huge role in making that happen. Today is the best time to jump on the bandwagon.
What skills and certifications do I need to become an Artificial Intelligence Engineer?
Most companies look for a bachelors’ degree in Computer Science or Mathematics when hiring for the role of an AI Engineer. Along with the degree, it is recommended that you have skills in Bayesian Networking, Physics, Cognitive Science Theory, Programming Languages, Robotics, Statistics, Linear Algebra, etc.
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