By: Nadeem Ali
Machine learning engineers build and deploy machine learning models. They are responsible for designing algorithms, training models, and optimizing them for real-world applications.
Data scientists analyze large datasets to extract meaningful insights and make data-driven decisions. They use statistical analysis and machine learning techniques to solve complex problems.
AI researchers focus on advancing the field of artificial intelligence by developing new algorithms and models.
NLP specialists work with language-related AI tasks such as text analysis, chatbots, and sentiment analysis.
Computer vision engineers develop AI systems that can interpret and understand visual information from images and videos
AI ethicists ensure that AI systems are developed and deployed in an ethical and responsible manner. They help organizations navigate the ethical implications of AI and make decisions that align with societal values.
AI consultants offer expertise to businesses looking to implement AI solutions. They assess a company's needs, recommend AI strategies, and oversee the implementation of AI projects.