AI/ML Intern Position

New

Skills

Cybersecurity Deep Learning Java Machine Learning Network Security NumPy Pandas Python scikit-learn Zero Trust

Join Agenic Cloud as an AI/ML Intern, where you will collaborate with ZPA engineers to develop innovative AI and ML segmentation strategies for enhancing network security. This role involves designing and implementing both supervised and unsupervised learning techniques for behavior-based segmentation, ultimately contributing to the development of Agentic AI systems that facilitate autonomous decisions within secure networks.

Key Responsibilities
  • Collaborate with ZPA engineers to develop AI/ML segmentation for network security.
  • Design and implement supervised and unsupervised learning for behavior-based segmentation.
  • Develop Agentic AI systems for autonomous decisions within secure networks.
  • Write robust AI capabilities using Java and Python within the ZPA framework.
  • Work with cross-functional teams to translate AI concepts into practical solutions.
Required Skills & Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or Electrical Engineering.
  • Strong proficiency in Python with experience in ML libraries such as scikit-learn, Pandas, and NumPy.
  • Solid understanding of machine learning concepts, including supervised and unsupervised learning and metrics.
  • Self-motivated individual with a passion for applying analytics to security challenges.
  • Coursework or projects in network protocols, zero trust, segmentation, or cybersecurity.
  • Hands-on experience with deep learning frameworks or time-series analysis for network telemetry.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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