Things are looking even better for digital nomads, remote workers, or for those who simply want to work from home. AI has officially landed, and the opportunities for those with the right skills have just multiplied by a factor of a ton. Here is a list of the top AI jobs you can have your pick from:
Thousands upon thousands of companies will be adding some form of chatbot presence to their websites in the coming years, and you could be the one developing them. There are plenty of chatbot platforms out there, including some pretty darn good open source ones like Rasa, BotLibre, or Botpress. Of course the big cloud platforms like GCP, Azure, AWS and Oracle also have a plethora of tools for you to develop and train your bots. These bots don’t code themselves, someone’s gotta do it….will you?
This is one of the newest jobs created (yes, AI also creates jobs) by the AI craze. A prompt engineer gets hired to feed text based prompts into AI tools in order to generate reports, articles, posts, emails, proposals, legal documentation, etc. You could see a prompt engineer as an AI power user, someone that can squeeze out of AI tools whatever their employer asks them to.
Machine Learning Engineer
A Machine Learning Engineer is a professional who specializes in developing and implementing machine learning algorithms and models to solve complex problems. Their main focus is on designing and building systems that can learn and make predictions or decisions without being explicitly programmed.
Data Engineers specialize in designing, building, and maintaining the infrastructure and systems required for efficient and reliable data processing, storage, and retrieval. They play a critical role in managing and organizing large volumes of data to ensure its quality, accessibility, and availability for analysis and decision-making.
AI Engineers focus on developing, implementing, and maintaining artificial intelligence (AI) systems and solutions. They work on designing and building AI models and algorithms to solve complex problems, automate tasks, and make intelligent predictions or decisions.
Data Scientists apply statistical analysis, machine learning, and data visualization techniques to extract valuable insights and knowledge from large and complex datasets. They have expertise in both technical and analytical skills, allowing them to solve complex problems and make data-driven decisions.
Big Data Analyst
This field is gigantic, but one of the most common set of tasks associated with Big Data and AI is pattern recognition analysis in order to build predictive models…that’s a mouthful huh!?
User Experience (UX) Developer/Designer
This is the “pretty crew”. They make the interfaces attractive and appealing, craft and chisel the user experience flows, and make sure your interaction with the platform is gratifying. Hey looks matter, even in AI.
Natural Language Processing Engineer
Closely related to the chatbot developers, this role dives deeper into the synergy between computer systems and the language of humans.
Business Intelligence Developer
Business Intelligence (BI) Developers focus on designing, developing, and implementing business intelligence solutions to help organizations make informed and data-driven decisions. They work with various technologies and tools to collect, analyze, and visualize data, providing insights that drive business performance and strategy.
Cloud Engineers and Cloud Administrators
Even though there is so much focus on AI and AI jobs….but, where do you think all these AI platforms run? Yes, they run on the cloud. And someone needs to keep the cloud up and running, these are the good ol’ folks known as the cloud administrators and engineers. Not so long ago, cloud was the buzzword…or did you forget already ;)?
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