AI/ML Engineer
Design, build, and deploy machine learning models and artificial intelligence systems at scale. Work across the full ML lifecycle — from data preparation and model training to production deployment, monitoring, and optimization — using frameworks like PyTorch, TensorFlow, and cloud ML platforms.
What do AI/ML Engineer do?
Design, build, and deploy machine learning models and artificial intelligence systems at scale. Work across the full ML lifecycle — from data preparation and model training to production deployment, monitoring, and optimization — using frameworks like PyTorch, TensorFlow, and cloud ML platforms.
What is the median salary for AI/ML Engineer?
The median annual salary for AI/ML Engineer is $112,590.
What is the job outlook for AI/ML Engineer?
Employment for AI/ML Engineer is projected to grow by 36.0% over the next decade.
What education do AI/ML Engineer need?
AI/ML Engineer typically require bachelor's degree in computer science, mathematics, or related field.
What skills do AI/ML Engineer need?
Key skills for AI/ML Engineer include Python, PyTorch/TensorFlow, SQL, MLflow/Kubeflow, Cloud platforms (AWS/GCP/Azure), Statistics, Software engineering.