Can machines think? Back in the 1950s, a proof of concept, as well as advocacy from high profile people, were needed to persuade funding sources that machine intelligence was worth pursuing. The period from the 1960s to the 2000s saw a roller coaster of success and setbacks. We now live in the age of Big data, an age in which we have the capacity to collect a multitude of information too cumbersome for a person to process. The application of AI in this regard has already been quite fruitful in several industries. Looking at the future, AI language is looking like the next big thing, from imagining an interaction with an expert system in a fluid conversation or in two different languages being translated in real-time, also driverless cars on the road. Alongside these innovations, AI engineering skills have also seen a massive augmentation. While professionals across the globe are worried about robots replacing humans, a Gartner study reveals that AI Is an emerging field that will create 2.8 million jobs in the near future. In today’s times, AI capabilities are in high demand across industries- gaming, robotics, face recognition, weaponry, speech recognition, vision recognition, expert systems, and search engines. When we talk about a sea of AI jobs, we must focus on the top AI engineer skills that you must possess:

Programming Languages (Python, R, Java)
Linear algebra and statistics
Signal processing techniques
Neural network architectures

If you are looking at making a worthy AI career then, it becomes imperative to understand the different opportunities it provides you in varied fields. Let’s look up at each role in depth.

TOP AI JOBS IN DEMAND IN 2022

1. MACHINE LEARNING ENGINEER

AI/ML engineers are not only involved with customer insights and risk management but are also a crucial part of additional initiatives, which continuously simplify ML principles from a business perspective. They must possess data management skills and be inclined towards neural networks or cloud applications. An average salary that a qualified ML engineer can enjoy is around $121,000.

2. ROBOTIC SCIENTIST

Robots can automate jobs but they require programmers working behind the scenes to ensure they function well. Robotic science is used for multiple functions but its primary role is to build mechanical devices or robots which can perform tasks with human commands, alongside writing and manipulating computer commands, collaborating with other specialists & developing prototypes.

3. DATA SCIENTIST

Data scientists collect, analyze and interpret large amounts of data by using ML and predictive analytics to gain insights beyond statistical analysis. They must possess expertise in Hadoop, Pig, Hive, Spark & MapReduce, and other programming languages. A qualified data scientist can enjoy an average share of $117,000 annually.

4. RESEARCH SCIENTIST

A research scientist is an expert in multiple AI disciplines including deep learning, graphical models, computer perception, NLP, data representation, ML, computational statistics, and applied mathematics. They should also have strong verbal and written communication skills to stay in the field for long.

5. BUSINESS INTELLIGENCE DEVELOPER

Candidates with experience in data warehouse design, BI technologies, SQL server reporting services, and data science certifications are preferred for this role. As they’re in high demand, their primary job is to analyze complex data and look for current business and market trends thereby increasing the profitability and efficiency of the organization. They can earn an average salary of $90,000 with good experience in hand for the role.

6. BIG DATA ENGINEER/ ARCHITECT

A big data engineer must possess the ability to demonstrate significant programming experience with C++, Java, Python, and Scala. Alongside, a piece of in-depth knowledge and experience related to data mining, data visualization, and data migration. The ones with mathematics as their core subject with computer science are given preference in the selection procedure and an average salary of $130,000 could be taken back home with this role.

7. AI ANALYST/ SPECIALIST

The role of an AI specialist or analyst is to cater to AI-oriented solutions and schemes to enhance the services delivered by a certain industry using data analyzing skills to study trends and patterns of certain datasets. They must have good programming, system analysis, and computational statistics background. An average salary for this role can be anywhere around $80,000 based on years of experience and the company you working for.

TOP COMPANIES HIRING FOR AI ROLES:

Microsoft
Google
Intel
SAP
Accenture
Nvidia
Amazon
Deloitte
HP enterprise
Johnson & Johnson
Tik Tok
UPS
Playstation
Fidelity investments
Uber
Warner bros. entertainment
Wayfair

Landing a great AI job is not everything, it is an ongoing upskilling process. Try your hands-on data-driven abilities and if you’re just starting out, it’s beneficial to take courses that cover Bayesian networking, computer science theory, engineering, physics, robotics, and varying levels of math. And this role also expects you to be exceptionally good at soft skills as no matter the job position, soft skills are essential for success especially in an evolving industry like Artificial Intelligence.

WHY DO I NEED AN AI CERTIFICATION?

Best artificial intelligence certification programs will not only provide valuable education but also add to your experience, knowledge, and skillset, all of which will translate into a hike in salary. One of the best ways to boost your AI salary is through advanced education. You can choose from the leading

AI certifications available- Deep learning specialization by Andrew Ng (Coursera), CAIE, CAIC, CAIS from USAII™ provide industry-relevant skills in AI. These competent AI certifications enable individuals to succeed in the future powered by artificial intelligence and be viewed by potential employers as subject matter experts in the field of AI technologies.