Which of These AI Opportunities Suits You? Find Your Match Here!
Many of us reading this remember the days of the rotary phone, and now we carry a fully equipped computer in our pockets. And it seems like such a short time later when we could speak into these mobile devices and find information, write texts through voice-to-text capabilities, and order food in seconds.
Similar to technologies, jobs in artificial intelligence are emerging faster than we can comprehend. You’ve all heard someone, only halfway joking, saying that “robots are going to replace our jobs.” However, the opposite is more factual: AI is creating jobs. Maybe you’re considering a career change and want to explore one of these new paths – but which should you take? We’ll show you five popular options here.
Love math and statistics? You might want to consider a career as a data scientist. These professions analyze and sort large repositories of information into data sets that companies can use to measure business outcomes. Job growth outlook for data scientists is promising since the intelligence we can access grows exponentially with AI.
Though data scientists come from multiple educational specialties, most of them have some technical postsecondary training, such as math, statistics, and computer science. As it is a competitive field, about 80% of those who obtain data scientist jobs also have a master’s degree. Pattern recognition and critical thinking are must-have strengths to succeed in this role.
Big Data Architect or Engineer
Big data engineers troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and, when needed, coding/scripting. Employers usually look for someone with a proven attention to detail and experience with major programming languages. Some companies also look for someone with some customer service background or any role where they have to help solve client problems.
For many, a big data architect is the natural next career step for a data engineer. If you’re a conceptual thinker who wants a lucrative tech role, big data architecture might be ideal for you. These experts create end-to-end operational solutions using real-time batch processing solutions. Extroverts within the tech field often select these roles because they get to enjoy facetime with other stakeholders throughout.
Both postings usually require a college education, preferably in computer science and engineering.
Machine Learning Engineer
These engineers partner with data scientists, product managers, business partners, and software engineers to develop AI optimization products to analyze and predict customer behavior. In this way, they drive more profitable outcomes for businesses in various industries. They also develop and test machine learning models and test-related software. A knack for solving ambiguous business problems, teamwork, and communication are musts for this role, and most open roles require either a master’s or doctorate degree in computer science or engineering.
These experts work on drafting prototypes, blueprints, and other documentation for engineering robotics products, in collaboration with other engineers and managers. Then, robotics engineers will test and modify prototypes based on any functionality concerns while debugging throughout the process.
Self-starters and those with an adaptive, detail-oriented approach to work usually thrive in these roles. Educational requirements include bachelor’s or master’s degrees in fields like mechanical engineering, industrial engineering, computer science, etc., preferably with experience in both hardware and software systems.
Natural Language Processing
Have you ever noticed that talking to AI devices is growing easier? Where you might have had to repeat yourself, minimize your accent, or give them more prompts before, you can now articulate commands and get results more seamlessly.
You have natural language processing to thank. This field uses multiple disciplines, from linguistics to computer software to AI to analyze the interactions between computer and human language. So, if you find yourself drawn to the written word, though you operate in a STEM field, natural language processing careers might be your niche. Job duties include working with a group of technical teams to produce code examples and continuing to monitor and test contextual nuances in language or code for natural-sounding syntax.
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AI will continue to evolve and create jobs. Ultimately, the ability to monitor and verify the security of our technological advancement requires talented professionals who understand how it works at the most fundamental level. Is that you?
If you are seeking skilled IT staff to ensure the technology and programs being employed are safe and sustainable, contact us at WideNet. We have made it our mission to provide the talent you need to ensure the functionality, innovation, and safety of your applications.