AI Career Tracks
Explore structured career paths for the most in-demand AI roles and see how your skills stack up.
Top AI Hiring Paths
Machine Learning Engineer
Build, train, and deploy machine learning models at scale. This role bridges the gap between data science and software engineering.
Data Scientist
Extract insights and make predictions from complex datasets. This role involves statistical analysis, data visualization, and predictive modeling.
AI Engineer
Integrate and productionize AI/ML models into applications. This role focuses on system design, API development, and the practical application of AI.
Prompt Engineer
Design, refine, and optimize prompts to steer large language models (LLMs). This role is a blend of art, science, and communication.
MLOps Engineer
Automate and manage the lifecycle of machine learning models. This role applies DevOps principles to machine learning workflows.
AI Product Manager
Define the vision, strategy, and roadmap for AI-powered products. This role requires a blend of technical understanding and business acumen.