A Brief Guide to Careers in Artificial Intelligence and Machine Learning

Offers multiple career possibilities, such as artificial intelligence and machine learning software developers, hardware specialists, etc., which can help create innovative solutions to make life easier.

As technological advances become more and more frequent in our lives each year, almost every aspect of our lives has seen technological penetration that has become a game changer for our lives. From a business perspective, technology is the key to their survival and growth. Of all the inventions and technologies, none have had a greater impact on mankind than Artificial Intelligence (AI) and Machine Learning (ML).

AI and ML have redefined society in ways we never imagined. From simple everyday functions like opening our phones (Touch ID, facial recognition) and navigation (maps) to more complex business functions in almost every industry, AI and ML have gained a lot of traction in a short time. That being said, it is not surprising that companies are looking for the most demanding skill sets when hiring candidates to develop careers in response to technological advances.

Now, what career prospects do these skills offer? And how can you build a successful career outside of them? Before looking at the answers to these questions, let’s first know what AI and ML are and what they can do.

Artificial intelligence and machine learning

AI, a broader branch of computer science, refers to the simulation or replication of human intelligence on machines. It is an interdisciplinary science that can be communicated in multiple ways. ML, on the other hand, is a branch of AI and computer science that relies on the use of algorithms and data to mimic the way people learn.

Building a career in AI and ML

Building a career in AI or ML is not an easy or difficult path. However, it requires a dedicated approach and specific prerequisites. For example, statistical and mathematical skills, probability, programming skills, advanced signal processing techniques, distributed computing, etc., will prove to be extremely useful for those who want to build a successful career in AI or ML. Completing a professional certificate course from a firm / organization that provides placement opportunities can lay a foundation that can help you build a successful career. Now for the million-dollar question – which career path can you choose in the case of AI / ML?

Data Scientists: Responsible for collecting and analyzing data, data scientists need to have a strong foundation in mathematics and statistics to be able to analyze large amounts of data efficiently. The demand for data scientists is increasing astronomically with a 46 percent increase in employment in the industry since 2019. Indeed, it is predicted that by 2026, the country will have more than 11 million job opportunities in the field of data science. This growing demand will create an upward career arc for professionals and aspirants who have the right skills.

ML Engineer: The work of an ML engineer is at the heart of AI projects – anyone with a background in applied research and data science can choose a career as an ML engineer. Strong natural language processing skills and knowledge in the practice of agile development in leading software development tools will help you build a strong foundation for your career as an ML engineer.

AI Architects: AI architects are responsible for the overall needs of AI-based projects by understanding all the objectives before starting their work. Also, they need to understand how AI is used in their organization. Being an AI architect is a job that requires long-term involvement in the AI ​​field and is not an entry-level job.

Big Data Engineer: Big data engineers probably play the most important role and are at the core of AI-related work. They play a key role in creating an environment that allows one business structure to communicate with another, so most companies are looking for big data engineers who are highly qualified. Big data engineers also need to be proficient in programming, C ++, Java, Python etc. to gain skills in their job.

Offers multiple career possibilities, such as artificial intelligence and machine learning software developers, hardware specialists, etc., which can help create innovative solutions to make life easier. However, given the speed at which AI and ML are changing our lives, many often wonder if machines will take over the world. Although machines cannot completely occupy the world, since human intelligence is incomparable, AI and ML can make certain tasks unnecessary. This is where upskilling comes into play.

Adapting yourself to the new age technology can go a long way in helping you build and sustain your career. Today, professional education institutes offer certificate courses taught by industry principals with specially curated content and even placement opportunities to help you build your career and stay up to date with the latest industry trends. Ultimately, upskilling will allow humans and machines to work together to create unique solutions that benefit mankind in the long run.

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