The AI boom is here to stay, and the demand for skilled professionals in the field is skyrocketing. As the global adoption of AI technology continues to grow, now is the perfect time for aspiring professionals to capitalize on the hype and pursue a career in this ever-expanding field. In this article, we will explore five entry-level AI jobs that are becoming increasingly in demand as the AI implementation phase progresses.
AI/ML Engineer
AI and machine learning engineers are responsible for engineering and deploying artificial intelligence and machine learning models and systems, as well as training models on expansive data sets. To become an AI/ML engineer, you will need a Bachelor's degree in computer science or a related field, along with specialist certifications or advanced qualifications in AI and machine learning.
Data Scientist
Data scientists use AI tools to collect and extract data, and make sense of it, which is then used by companies to improve decision-making. To become a data scientist, you will need a Bachelor's degree in computer science or data science, or you can enter the field without a degree through undergoing data science certifications online.
ML Researcher
ML researchers conduct fundamental research that aids in the advancement of machine learning algorithms and enable new information science inventions. To become an ML researcher, you will need a Bachelor's degree and PhD in computer science, mathematics, machine learning, or artificial intelligence.
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NLP Specialist
NLP specialists work on applications that engage with and interpret human language, such as chatbots. To become an NLP specialist, you will need a Bachelor's degree in computer science or a related field, along with specialized courses covering topics such as Python, TensorFlow, PyTorch, etc.
AI Software Developer
AI software developers build AI software solutions in collaboration with data scientists and integrate these solutions into existing applications. To become an AI software developer, you will need a Bachelor's degree in computer science or a related field, along with additional courses to understand machine learning concepts, NumPy, Pandas, Scikit-learn, data processing, etc. A master's degree can be very helpful.
Conclusion
These five entry-level AI jobs offer high-paying opportunities for aspiring professionals to capitalize on the AI boom. To secure these roles, it is essential to boost your experience and skills with a master's degree in a related specialism, in addition to getting hands-on experience with AI-related projects during your studies. This will go a long way towards securing your remote entry-level role and attracting interest from major employers, including start-ups.
What do you think is the most significant challenge in implementing AI technology in the professional services sector, and how do you think it can be overcome?
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