AI Cybersecurity Specialist

15 hours ago

Pune, Maharashtra, India beBeeCybersecurity Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Opportunity

We are seeking a talented developer with experience in developing customized solutions based on the NVIDIA Morpheus Cyber AI framework.

The ideal candidate will be instrumental in the development of a state-of-the-art Grid Cybersecurity software platform designed to safeguard electric sector critical infrastructure from emerging cyber threats.

Your Role:

- Design, develop, and implement cybersecurity solutions using NVIDIA Morpheus Cyber AI framework, NVIDIA AgentIQ toolkit, NVIDIA Blue Field, Domain-Specific LLM, Open API, and OpenUSD.

- Collaborate with cross-functional teams to integrate AI-driven security features into the Grid Cybersecurity platform.

- Analyze and process large datasets to identify and mitigate potential published and zero-day OT/ICS vulnerabilities.

Requirements:

  • Bachelor's degree in Artificial Intelligence, OT/ICS Cybersecurity, Computer Science, Embedded Device Engineering, or a related field.
  • Proven experience with NVIDIA Morpheus Cyber AI framework and comparable AI frameworks.
  • Experience with operational technology (OT)/industrial control systems (ICS) critical infrastructure cybersecurity technologies.
  • Strong programming skills in Python. Additional languages such as C++ or Java is a plus.
  • Commercial product experience with AI, machine learning, and customizing common AI frameworks for specific use cases.
  • Strong experience with DevOps, DevSecOps, AIOps/AI Governance, and MLOps.

Preferred Qualifications:

  • Experience presenting at technical conferences.
  • Experience with AI trust documentation projects.
  • Ability to work collaboratively in a fast-paced, dynamic environment.
  • Excellent innovation, problem-solving, and communication skills.
  • Familiarity with project management systems, including Jira or Trello.
  • Familiarity with Software Bill of Materials (SBOM) for vulnerability management.
  • Experience with grid computing and large-scale distributed data processing.
  • Knowledge of private cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of networking protocols and security measures.
  • Experience with digital twins for cybersecurity.

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