About the Role
We are looking for an experienced AI Engineer with full-stack development expertise to design, build, and deploy an AI training application. This role includes deploying AI/ML models within an OpenAI instance on AWS and creating a backend chatbot application. The ideal candidate will have strong skills in both backend development and AWS deployment to ensure a seamless, interactive learning experience for users.
Requirements
This position is for an AI Engineer with a focus on building and deploying AI/ML models within an AWS-based environment. The candidate will also develop a backend chatbot application for interactive learning experiences, supporting a hands-on training environment.
Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or a related field.
4+ years of experience in machine learning and cloud-based applications (preferably in AWS).
Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas), along with experience in front-end development (React, Node.js).
Familiarity with OpenAI, natural language processing, and chatbot development.
Experience with machine learning pipelines, Jupyter Notebooks, and backend development.
Preferred Qualifications
Certification as an AWS ML Engineer or Architect.
Experience creating AI/ML models and deploying them in secure, scalable environments.
Background in developing AI/ML solutions for educational or training applications.
About the Company
At AMD CyberSec, we specialize in helping businesses protect their products and assets from evolving cyber threats. Our services include penetration testing, advisories, and consulting, focusing on product security, SSDLC, Cloud Security, and DevSecOps transformation. With our team of experienced professionals, we ensure the robustness of our client products. We are a forward-thinking technology company committed to developing interactive, AI-powered learning applications.