5-Step Guide You Should Follow To Start A Career In Artificial Intelligence
As artificial intelligence (AI) continues to invade different verticals, it is getting obvious that the future of tech is already here. Also, there are talks that AI will soon eliminate human jobs and will take the driving seat. However, it is not completely true — with all the advancements, it will very likely create new types of jobs as well.
Form chatbots to robots to voice assistance, AI over the years have proved that it is here to stay, not to fade. So, it is high time for people who are into AI or want to take a career in AI, should start preparing.
In this article, we lay down the 5 crucial steps to follow to start a career in AI.
AI is a sound career choice for a while now and as the adoption of AI in various verticals continues to grow, the demand for trained professionals to do the jobs created by this growth is also skyrocketing. Even though many AI pundits have prophesied that this technology will wipe out a massive amount of human jobs, there other pundits too who have said this will offers many unique and viable career opportunities. Therefore, if you are an AI enthusiast then be optimistic and prepare for a great career in AI.
Machine Learning Engineer: It is considered to be one of the most sought-after careers jobs in the AI space and to be a machine learning engineer, one must have a strong hand on software skills, have the knowledge of how to apply predictive models and utilise natural language processing while working with huge datasets. Robotic Scientist: A Robotic scientist is someone with significant formal education and builds mechanical devices to perform various tasks — whether it is about machines to go where humans can’t go or robotic hands for microscopic tasks. A robot might automate jobs, but it requires someone who can create robots. To be a robotic scientist, one should at least have a bachelor’s degree related to computer science or engineering. Data Scientist: A data scientist is someone who collects, analyse and interpret data from various sources by using machine learning and predictive analytics to better understand how the business performs and builds AI tools. To be a data scientist, one should have the expertise in using Big Data platforms and tools including Hadoop, Pig, Hive, Spark, and MapReduce. Also, one should have a strong hand in programming languages including SQL) Python, Scala, and Perl. Research Scientist: A research scientist is someone who is responsible for designing, undertaking and analysing data from controlled laboratory-based investigations, experiments and trials. Also, to be a research scientist, one should have a strong knowledge of different AI disciplines. Business Intelligence Developer: The demand for Business Intelligence developers have skyrocketed in recent years. BI developer spends a lot of time researching and planning solutions for existing problems within the company. Whether it is about analysing complex data or look for current business, a BI developer plays a vital role in increasing profitability and efficiency of the organisation.
If you’re intrigued by AI and wondering how to get started, then the first and foremost step is to hold a Bachelor’s degree in mathematics and computer science. However, most of the time, a Bachelor’s degree only lands you an entry-level position, but it will at least get you started. So, once you get into the industry and understand how things work, you can plan your future career. Talking about positions entailing supervision, leadership or administrative roles, you need to have a Master’s degree or a Doctoral degree.
Before you dive in AI, build up a base in these areas:
One step ahead: If you’re already a software engineer, it becomes a bit easy for you to enter the AI industry compared to those who are just getting started.
