Machine Learning Engineers design, build, and deploy machine learning models. They focus on selecting algorithms, preparing data, training models, and fine-tuning their performance to solve real-world problems. They also work on integrating these models into production environments.

Data Scientists analyze large datasets to extract valuable insights and inform decision-making. They use a combination of statistics, programming, and machine learning to build predictive models, perform statistical analysis, and create data-driven strategies for businesses.

AI Research Scientists focus on developing new AI models, algorithms, and methodologies. They conduct cutting-edge research to advance the field of artificial intelligence, often publishing papers and contributing to the creation of novel AI techniques.

AI/ML Product Managers bridge the gap between technology and business needs. They oversee the development and deployment of AI-based products, ensuring that they align with market demands and user needs. They collaborate with engineers, data scientists, and stakeholders to deliver AI-driven solutions.

Deep Learning Engineers specialize in building and optimizing neural networks and other deep learning models. They work with large datasets and computational models to train deep learning systems that can process tasks like image recognition, natural language processing, and more.