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India
Gurugram District
1 jobs found
17.04.2025
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Siemens Agentic AI Domain-Specific LLM Developer India, Haryana, Gurugram District
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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...
Description:
oriented:
- 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.
- Develop and maintain robust, scalable, and secure software CI/CD processes and have experience with DevSecOps software composition analysis tools.
- Troubleshoot, debug, and optimize existing software for improved performance and security.
- Stay up to date with the latest advancements in AI and cybersecurity to ensure our platform remains at the forefront of innovation.
We don’t need superheroes, just super minds:
- Bachelor master’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.
- Stay up to date on new developments in AI for Cybersecurity.
- Experience presenting at technical conferences is a plus.
- 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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These jobs might be a good fit
Share
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...
Description:
oriented:
- 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.
- Develop and maintain robust, scalable, and secure software CI/CD processes and have experience with DevSecOps software composition analysis tools.
- Troubleshoot, debug, and optimize existing software for improved performance and security.
- Stay up to date with the latest advancements in AI and cybersecurity to ensure our platform remains at the forefront of innovation.
We don’t need superheroes, just super minds:
- Bachelor master’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.
- Stay up to date on new developments in AI for Cybersecurity.
- Experience presenting at technical conferences is a plus.
- 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.
Show more
These jobs might be a good fit
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