Analyze complex problems and propose AI-driven solutions for cybersecurity use cases
Develop, test, and deploy AI/ML systems and applications
Implement and maintain data pipelines on cloud platforms like AWS and GCP
Collaborate with senior team members to design AI-enabled security solutions
Assist in developing and presenting technical findings to stakeholders

Requirements

Bachelor's Degree
At least 3 years of experience in software development or AI/ML engineering
Demonstrating proficiency in Python and AI/ML frameworks
Building applications with LLM orchestration frameworks
Implementing cloud-native AI services on AWS or GCP
Gaining experience in a cybersecurity-related domain
Contributing to open-source projects in AI or cybersecurity
Utilizing ML Ops tools and practices such as Docker, Kubernetes, CI/CD for models
Working with AI-enabled automation platforms such as Swimlane, Torq or Tines
Professional certifications in cloud platforms preferred (e.g. (e.g., AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI/ML frameworksLLM orchestration frameworkscloud-native AI servicesML OpsDockerKubernetesCI/CDAI-driven solutionsdata pipelines

Soft Skills

problem analysiscollaborationtechnical presentation

Certifications

AWS Certified Machine Learning - SpecialtyGoogle Professional Machine Learning Engineer