Designs, trains, and optimizes machine learning algorithms. One of the most in-demand and high-paying roles across industries, from banking to e-commerce.

Applies AI tools to analyze large datasets, build predictive models, and drive data-informed decision-making. Combines statistics, data engineering, and business insight.

A fast-growing new role. Crafts effective prompts for generative AI models like GPT, Claude, and DALL·E to ensure accurate and high-quality outputs.

Bridges business, tech, and AI. Defines product strategy, prioritizes features, and oversees the integration of AI into digital products and services.

Works at the frontier of innovation—developing new algorithms and architectures, experimenting with AGI, RLHF, and publishing in leading AI conferences.

Specializes in systems that interpret visual data—object detection, face recognition, motion tracking. Key for healthcare, security, automotive, sports, and industrial AI.

Focuses on building and fine-tuning AI models for generating images, video, audio, and text. Highly relevant in marketing, media, creative industries, and EdTech.

Assesses societal impact of AI, shapes regulations, standards, and frameworks for ethical deployment. Works across NGOs, governments, and corporate governance.

Expert in natural language processing: building chatbots, speech-to-text, summarization, translation tools. Crucial in customer support, education, and search.

Deploys and maintains AI systems in production. Ensures CI/CD pipelines, automation, scalability, and monitoring of AI models in real-world environments.