The modern world is brimming with autonomous tools, from seeking the quickest route on Google Maps to asking Alexa for a cake recipe or letting Spotify curate a playlist for you. Our reliance on machines and software has reached unprecedented levels, as they demonstrate remarkable intelligence in handling everyday tasks. The excellence and intuitiveness of these gadgets, software, and apps can be attributed to one key factor: Artificial Intelligence.
For individuals fascinated by subjects such as Mathematics, statistics, computers, coding, and software, the field of Artificial Intelligence is one that should undoubtedly capture their attention. Yet, acknowledging the ease of discussing it, the real challenge lies in translating interest into action and constructing a career in an industry that didn’t exist a decade ago. Recognizing this daunting task, we aim to assist you in navigating this journey. In this blog, we will provide insights into building a career in Artificial Intelligence, it’s all you need to know. But before we get too deep into the career stuff, let’s get a good grasp on what artificial intelligence is all about.
What is Artificial Intelligence?
AI is the intelligence that machines show, which is different from the natural intelligence that humans and animals have, which is made up of consciousness and emotions. Basically, the goal of AI is to make machines do things that humans do, like solve problems and learn things. Essentially, AI is implemented in machines to enhance human life by simplifying and optimizing various tasks. Gradually, numerous industries are recognizing the remarkable capabilities of AI, such as its ability to effortlessly handle complex tasks and perform manual operations at a speed far surpassing human capabilities.
Career in Artificial Intelligence Choosing a career in Artificial Intelligence has been a favorable decision for quite some time, and as the integration of AI in diverse fields expands, the demand for trained professionals to fill the roles created by this growth is skyrocketing. AI is not confined to industries like computers and IT but has permeated sectors like hospitality, education, finance, and engineering.
A crucial initial step is obtaining a Bachelor’s degree in mathematics and computer science. If you already have a career in these fields, it serves as a solid starting point. Specialized expertise is essential in AI, making it imperative to be in a relevant field. For individuals already working as software engineers or developers, transitioning into the AI industry is relatively easier compared to those just starting out.
While a Bachelor’s degree often secures entry-level positions or internships, it serves as a foundation for entering the AI industry. Once immersed in the field and familiar with its operations, one can explore opportunities to switch to another company with a potential salary increase. For those aspiring for higher positions involving supervision, leadership, or administration, a Master’s degree, a Doctoral degree, or a substantial amount of experience, typically five or more years, becomes necessary.
Prerequisite for Artificial intelligence
As the saying goes, the absence of a solid foundation precludes the creation of anything valuable. Artificial Intelligence (AI) is an advanced scientific field with specific prerequisite subjects that one must be familiar with. Therefore, it is crucial to acquire information and knowledge about key subjects, as displayed on the screen, before delving into the realm of AI.
To elaborate further, the essence of AI lies in comprehending the logic of a problem and subsequently finding solutions. This involves engaging in activities such as solving logical reasoning problems and participating in mobile and computer games like chess and sudoku, which entail trivia and puzzles.
Moving on to algorithms, which serve as the brain of an AI system, entails understanding intricate structures. To gain hands-on experience, try creating pseudo-codes. Numerous free websites like Pythondone and Programs are available to test your self-developed skills.
Lastly, data functions as the lifeblood of an AI system, and Python is an efficient carrier of this data. Therefore, learning Python coding is not just a luxury but a necessity. Start by writing simple Python programs and comprehend how to collect and process data using Python libraries like NumPy and Pandas. While this knowledge is sufficient, gaining expertise in small Proof of Concepts (POCs) like the Titanic dataset can give you a competitive edge.
Now that you are equipped with an understanding of the essential fields of study, let’s explore the specific jobs that await you in the field of AI.
Machine Learning Engineer
Machine Learning Engineer is regarded as one of the most coveted roles in the field of AI. To excel as a machine learning engineer, one must possess robust IT skills and the ability to apply predictive models, incorporating natural language processing when dealing with extensive datasets.
Robotics Engineer
A Robotics Engineer or Scientist constructs mechanical devices employing AI to perform diverse tasks, as seen in the creations of companies like Boston Dynamics. These tasks range from developing machines capable of reaching areas inaccessible to humans to crafting robotic hands for precise tasks, such as those performed in operating theaters. While robots may automate tasks, the industry relies on skilled robotics engineers to design and create these robotic systems.
Data Scientist
A Data Scientist is the person who takes data from different sources, looks at it, and uses it to make decisions. They use data science and machine learning, as well as predictive analytics.This role involves gaining insights into business performance and constructing AI tools. To excel as a data scientist, proficiency in Big Data platforms and tools, along with a solid grasp of programming languages like Python, is essential.
AI Research Scientist
An AI Research Scientist is primarily tasked with designing, conducting, and analyzing data from controlled laboratory investigations, experiments, and trials. Success in this role requires a comprehensive knowledge of various AI disciplines.
If you want to make it big in AI, the last thing you need to do is find a job. Job hunting can be facilitated through various platforms, with Indeed, LinkedIn, and simple online searches being among the top three. With a well-crafted CV, an online resume featuring relevant information, and adherence to basic resume-building practices, applying for AI jobs online becomes a straightforward process.
The AI industry’s tech-forward nature ensures that reputable companies are actively present online. Information about job opportunities, company details, and contacts can be easily obtained through websites, social media platforms like Facebook, Twitter, or LinkedIn. While the initial step of applying online may require courage, it opens avenues for understanding the expectations of hiring managers, identifying job openings, and recognizing job locations. Networking becomes more accessible with this information, facilitating the journey towards securing a job in AI.
For individuals contemplating a transition to a career in AI, seeking assistance is encouraged. Leaving contact details in the comment section or reaching out via provided contact information can initiate the conversation for guidance and support in navigating this career transition.
