Leverage AI/ML engineering for content generation and narrative analytics
Use Amazon SageMaker cloud machine-learning platform to create, train, and deploy machine-learning models in the cloud
Maintain awareness of state-of-the-art AI/ML techniques, methods, and platforms
Build REST APIs for AI/ML services
Work with Devops engineers to maintain and enhance AI/ML deployment
QUALIFICATIONS
3+ years experience with Python
3+ years experience with HTML, CSS, JavaScript
3+ years experience with AI/ML tools and services such as Anaconda, AWS SageMaker, AWS Lambda, Jupyter Notebook, Pandas, HuggingFace, etc.
2+ years experience with MySQL
Experience with existing AI/ML models and techniques such as BERT, GPT3, NLP, K-means clustering, etc.
Experience with AWS Cloud Formation
Experience building REST APIs
NICE TO HAVE
Docker, Kubernetes, Terraform
If interested in applying, please send a message or email your resume to jobs@edgetheory.com
AI-Native Narrative Intelligence
See Narrative Intelligence Built Around Your World
EdgeTheory transforms the information environment into decision-ready intelligence - detecting emerging risks, assessing narrative trajectories, and enabling strategic response before threats reach critical momentum.
