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.
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.
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)
- 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!
Top Artificial Intelligence Jobs
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:
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.
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:
Natural Language Processing
You also need to have a significant amount of experience in statistical computing as well as programming languages such as
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.
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.
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.
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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