How to become a Generative AI Machine Learning Engineer
Designs, develops, deploys, and operates production-grade generative AI and machine learning systems, including large language model applications, AI agents, retrieval pipelines, model-serving infrastructure, and MLOps workflows. The role combines software engineering, data science, cloud deployment, model governance, and cross-functional product collaboration.
Top Skills Required
- Generative AI
- Large language models
- Transformer architectures
Education & Certifications
Typical: Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Mathematics, or a related technical field.
Alternative paths:
- Master's degree in computer science, engineering, data science, mathematics, or a quantitative discipline
- Equivalent professional experience
- Strong production experience building and deploying AI systems