The field of artificial intelligence (AI) is rapidly expanding, creating a surge in demand for skilled professionals.
13 exciting AI careers that are poised to be in high demand in 2024
Machine Learning Engineer
Develops and trains algorithms that enable machines to learn from data and improve their performance over time. According to a report by McKinsey Global Institute, the demand for AI-related jobs is expected to grow by 55% between 2018 and 2025.
Data Scientist
Extracts insights from large datasets to inform decision-making and business strategy. The Bureau of Labor Statistics predicts a 36% growth in data science jobs between 2019 and 2029.
AI Product Manager
Oversees the development and implementation of AI products, ensuring they meet business objectives and customer needs. AI product management is a relatively new role, but its demand is expected to grow significantly as more companies adopt AI technologies.
AI Research Scientist
Conducts research to advance the state of AI and develop new algorithms and techniques. AI research is a highly competitive field, but those with advanced degrees and strong research backgrounds are in high demand.
AI Data Engineer
Builds and maintains data pipelines and infrastructure to support AI and machine learning projects. Data engineering is a rapidly growing field, with a projected growth rate of 11% between 2019 and 2029.
Computer Vision Engineer
Develops algorithms and systems that enable computers to understand and interpret visual information. Computer vision is a key component of many AI applications, including self-driving cars and facial recognition.
Natural Language Processing (NLP) Engineer
Develops algorithms and systems that enable computers to understand and process human language. NLP is a rapidly growing field with applications in areas such as customer service, translation, and content creation.
Robotics Engineer
Designs, builds, and maintains robots for a variety of applications, including manufacturing, healthcare, and exploration. The robotics industry is expected to grow at a compound annual growth rate of 22% between 2020 and 2025.
AI Hardware Engineer
Develops specialized hardware for AI and machine learning applications, such as GPUs and TPUs. As AI and machine learning become more demanding, the need for specialized hardware will continue to grow.
AI Ethics Officer
Ensures that AI systems are developed and used ethically and responsibly. AI ethics is a relatively new field, but its importance is growing as AI technologies become more pervasive.
AI Infrastructure Engineer
Designs and manages the infrastructure required to support AI and machine learning applications. AI infrastructure is a critical component of any AI system, and demand for skilled professionals in this area is expected to grow.
Audio Intelligence Engineer
Develops algorithms and systems that enable computers to understand and process audio information. Audio intelligence has applications in areas such as speech recognition, music generation, and sound analysis.
AI Model Trainer
Trains and fine-tunes AI models to perform specific tasks. AI model training is a critical step in the development and deployment of AI systems.