Top 10 Artificial Intelligence (AI) Jobs & Salary Offered in 2024

Owing to the rapid growth in the technology space, there has been a significant interest in artificial intelligence as a technology and a job creator! The number of jobs in artificial intelligence continues to grow as more and more companies take the digital route, but the fact remains that there are not enough candidates to fill 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.

Maybe if more job seekers realized the potential and perks of diving into AI, we could balance things out a bit.  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.

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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)

In this article, I’ve talked about the top 10 artificial intelligence jobs in 2024 that can accelerate your career to unknown heights. Read on!

In-demand Machine Learning Skills

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.

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:

• 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 specializing in Artificial Intelligence (AI) contribute significantly to the development and deployment of AI solutions. It is one of the popular artificial intelligence jobs.

Job Responsibilities: 

• Algorithm Development: Design and implement machine learning algorithms for various applications. 
• Model Training: Train and fine-tune AI models using diverse datasets. 
• Integration: Integrate AI models into software systems and applications. 
• Optimization: Optimize algorithms and models for performance and scalability. 
• Problem-Solving: Solve complex problems related to AI and data analytics. 
• Research: Stay updated on the latest AI research and technologies. 
• Collaboration: Collaborate with cross-functional teams for AI implementation. 

Salary in India: The salary for AI Software Engineers in India can vary based on experience, skills, and location. On average, entry-level positions may start at around INR 6-10 lakhs per annum, mid-level professionals earn between INR 10-20 lakhs, while senior roles can command salaries exceeding INR 20 lakhs or more. Software Engineer is one of the most sought-after artificial intelligence jobs for freshers.

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. 

Software Engineers specializing in Artificial Intelligence (AI) contribute significantly to the development and deployment of AI solutions. It is one of the popular artificial intelligence jobs. 

Job Responsibilities: 

• Algorithm Development: Design and implement machine learning algorithms for various applications. 
• Model Training: Train and fine-tune AI models using diverse datasets. 
• Integration: Integrate AI models into software systems and applications. 
• Optimization: Optimize algorithms and models for performance and scalability. 
• Problem-Solving: Solve complex problems related to AI and data analytics. 
• Research: Stay updated on the latest AI research and technologies. 
• Collaboration: Collaborate with cross-functional teams for AI implementation. 

Salary in India: The salary for AI Software Engineers in India can vary based on experience, skills, and location. On average, entry-level positions may start at around INR 6-10 lakhs per annum, mid-level professionals earn between INR 10-20 lakhs, while senior roles can command salaries exceeding INR 20 lakhs or more. Software Engineer is one of the most sought-after artificial intelligence jobs for freshers.

8) Robotics Engineer 

Robotics Engineers specializing in Artificial Intelligence (AI) contribute to the development and implementation of intelligent robotic systems, combining AI algorithms with physical robots. 

Job Responsibilities: 

• Algorithm Development: Design and implement AI algorithms for robotic perception and decision-making. 
• Sensor Integration: Integrate and calibrate sensors, such as cameras and LiDAR, for data collection. 
• Motion Planning: Develop algorithms for robotic motion planning and control. 
• Robotics Programming: Code and program robotic systems to execute tasks autonomously. 
• System Integration: Collaborate with cross-disciplinary teams to integrate AI into robotic systems. 
• Testing and Validation: Conduct testing and validation of AI-driven robotic functionalities. 
• Research and Innovation: Stay abreast of AI and robotics research to enhance system capabilities. 

Salary in India: The salary for Robotics Engineers in AI varies based on experience, skills, and location. Entry-level positions may start at around INR 6-10 lakhs per annum, mid-level professionals earn between INR 10-20 lakhs, and senior roles can command salaries exceeding INR 20 lakhs or more.

9) AI Product Manager 

AI Product Managers play a pivotal role in overseeing AI-driven products’ development, implementation, and success, ensuring they align with business objectives. 

Job Responsibilities: 

• Product Strategy: Develop and execute a strategic roadmap for AI product development. 
• Requirements Definition: Gather and prioritize product requirements, considering AI capabilities. 
• Cross-functional collaboration: Collaborate with engineering, data science, and design teams for product development. 
• Market Analysis: Conduct market research to identify AI trends and competitive products. 
• Stakeholder Communication: Communicate product updates and strategy to stakeholders. 
• Performance Monitoring: Track and analyze AI product performance metrics. 
• User Feedback Integration: Incorporate user feedback to enhance AI product features. 

Salary in India: AI Product Manager salaries in India vary based on experience, industry, and location. On average, entry-level positions may start at around INR 10-15 lakhs per annum, mid-level professionals earn between INR 15-25 lakhs, and senior roles can command salaries exceeding INR 25 lakhs or more. AI job salaries for product managers are among the most lucrative.

10) NLP Engineer 

NLP (Natural Language Processing) Engineers in AI specialize in developing algorithms and systems that understand and process human language. 

Job Responsibilities: 

• Algorithm Development: Design and implement NLP algorithms for language understanding. 
• Text Mining: Extract valuable insights from large volumes of textual data. 
• Speech Recognition: Develop systems for converting spoken language into written text. 
• Entity Recognition: Implement algorithms to identify entities, such as names and locations, in text. 
• Sentiment Analysis: Analyze and interpret sentiment expressed in text data. 
• Language Model Training: Train and optimize language models for specific applications. 
• Collaboration: Collaborate with cross-functional teams for integrated AI solutions. 

Salary in India: NLP engineers’ salaries in India vary based on experience, skills, and location. Entry-level positions may start at around INR 6-10 lakhs per annum, mid-level professionals earn between INR 10-18 lakhs, and senior roles can command salaries exceeding INR 18 lakhs or more.

Conclusion

The landscape of Artificial Intelligence (AI) jobs in 2024 is both diverse and lucrative, reflecting the growing integration of AI and Machine Learning into various sectors. From the foundational aspects of what Machine Learning is and its necessity in today’s digital era, to the exploration of top AI roles, it’s clear that opportunities in this field are expanding. The demand for skilled professionals in Artificial Intelligence jobs is on the rise, driven by the need for innovative solutions and enhanced efficiency across industries. As technology evolves, so do the career paths available, offering promising prospects and competitive salaries for those ready to dive into the complexities of AI. This exploration not only underscores the importance of AI in the future of work but also highlights the potential for individuals looking to make a significant impact in this exciting field.

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