Today
Top Secret
Unspecified
Unspecified
Intelligence
Charleston, SC (On-Site/Office)
Description
Acucyber is seeking an Artificial Intelligence DevOps SME. The primary responsibility for the AI DevOps SME is to support the Network Engineering team and will be focused on providing Artificial Intelligence and Machine Learning Solutions. This position will frequently interact with customers. This position will be responsible for identifying gaps and opportunities within our cybersecurity architecture, evaluating emerging technologies, and implementing AI/ML-driven solutions to enhance our security posture.
Typical Duties Include:
• Develop, engineer, and document AI/ML solutions across a multi-vendor platform to support our enterprise security architecture.
• Collaborate with data scientists and AI/ML specialists to integrate machine learning models into network security systems.
Implement AI-driven network anomaly detection, intrusion prevention, and threat hunting systems.
• Leverage AI/ML to enhance cloud security, addressing limitations of cloud platforms while ensuring compliance with DoD security directives.
• Utilize native and non-native cloud security tools, such as Azure Security Center, Azure Virtual Network TAP, AWS GuardDuty, and Amazon Inspector, to implement AI/ML-driven security solutions.
• Develop and implement AI/ML algorithms for network automation, using tools like NetMiko, Napalm, or Pandevice.
• Utilize AI/ML to optimize network resource allocation, improve infrastructure efficiency, and automate network configuration tasks.
• Stay informed about the latest AI/ML trends and emerging threats in network security.
• Conduct proof-of-concept (PoC) projects and pilot AI/ML-driven security solutions.
• Contribute to the development of AI/ML security standards and best practices.
Required Skills
Certification Requirements:
IAT Level II
• Security Certification (CCNA Security, CySA+, GICSP, GSEC, Security+ CE, or SCCP)
• CCNP or equivalent network engineering certification
Systems, Certifications, and Years' Experience:
• Bachelor of Science in Math or Engineering fields is REQUIRED .
• Minimum 7 years of experience in network engineering, telecommunication, or a related field.
• Proven experience (3+ years) in AI/ML, with a focus on network security or cybersecurity.
• Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python, R).
• Experience with AI/ML-driven network security tools and platforms (e.g., Darktrace, CrowdStrike Falcon, Vectra AI).
• Knowledge of AI/ML security use cases, such as anomaly detection, threat hunting, and predictive analytics.
• Strong network engineering background, with expertise in Cisco, Palo Alto, F5, Fidelis, and other relevant technologies.
• Proven experience in enterprise network design, implementation, and security.
• Familiarity with cloud networking technologies (AWS, Azure, GCP) and cloud security best practices.
• Certifications: AI/ML-related certifications (e.g., IBM AI Engineering Professional Certificate, Microsoft Certified: Azure AI Engineer Associate) are a plus.
• Security certifications (e.g., CISSP, CISM, CEH) are a plus.
• Excellent written and verbal communication skills, with the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders.
• Strong interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Problem-solving skills and a proactive approach to identifying and mitigating security risks.
• Outstanding organizational and time management skills.
• Excellent communication and interpersonal abilities.
• Reliable with exceptional work ethic.
• Detail oriented with self-motivated attitude.
• Collaborative team focus to support cohesive work team.
• Ability to handle competing priorities with high expectations in a team-oriented environment.
About acuCyber
acuCyber is a small business headquartered in Charleston, SC specializing in assisting clients with their most challenging needs around cyber security, compliance, risk management, IT, security engineering and program management.
acuCyber brings experience across multiple sectors supporting a multitude of customers. We bring value-added, effective, precise support to ensure your cybersecurity and IT needs are met. Your mission becomes our mission. Securely.
Acucyber is seeking an Artificial Intelligence DevOps SME. The primary responsibility for the AI DevOps SME is to support the Network Engineering team and will be focused on providing Artificial Intelligence and Machine Learning Solutions. This position will frequently interact with customers. This position will be responsible for identifying gaps and opportunities within our cybersecurity architecture, evaluating emerging technologies, and implementing AI/ML-driven solutions to enhance our security posture.
Typical Duties Include:
• Develop, engineer, and document AI/ML solutions across a multi-vendor platform to support our enterprise security architecture.
• Collaborate with data scientists and AI/ML specialists to integrate machine learning models into network security systems.
Implement AI-driven network anomaly detection, intrusion prevention, and threat hunting systems.
• Leverage AI/ML to enhance cloud security, addressing limitations of cloud platforms while ensuring compliance with DoD security directives.
• Utilize native and non-native cloud security tools, such as Azure Security Center, Azure Virtual Network TAP, AWS GuardDuty, and Amazon Inspector, to implement AI/ML-driven security solutions.
• Develop and implement AI/ML algorithms for network automation, using tools like NetMiko, Napalm, or Pandevice.
• Utilize AI/ML to optimize network resource allocation, improve infrastructure efficiency, and automate network configuration tasks.
• Stay informed about the latest AI/ML trends and emerging threats in network security.
• Conduct proof-of-concept (PoC) projects and pilot AI/ML-driven security solutions.
• Contribute to the development of AI/ML security standards and best practices.
Required Skills
Certification Requirements:
IAT Level II
• Security Certification (CCNA Security, CySA+, GICSP, GSEC, Security+ CE, or SCCP)
• CCNP or equivalent network engineering certification
Systems, Certifications, and Years' Experience:
• Bachelor of Science in Math or Engineering fields is REQUIRED .
• Minimum 7 years of experience in network engineering, telecommunication, or a related field.
• Proven experience (3+ years) in AI/ML, with a focus on network security or cybersecurity.
• Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python, R).
• Experience with AI/ML-driven network security tools and platforms (e.g., Darktrace, CrowdStrike Falcon, Vectra AI).
• Knowledge of AI/ML security use cases, such as anomaly detection, threat hunting, and predictive analytics.
• Strong network engineering background, with expertise in Cisco, Palo Alto, F5, Fidelis, and other relevant technologies.
• Proven experience in enterprise network design, implementation, and security.
• Familiarity with cloud networking technologies (AWS, Azure, GCP) and cloud security best practices.
• Certifications: AI/ML-related certifications (e.g., IBM AI Engineering Professional Certificate, Microsoft Certified: Azure AI Engineer Associate) are a plus.
• Security certifications (e.g., CISSP, CISM, CEH) are a plus.
• Excellent written and verbal communication skills, with the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders.
• Strong interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Problem-solving skills and a proactive approach to identifying and mitigating security risks.
• Outstanding organizational and time management skills.
• Excellent communication and interpersonal abilities.
• Reliable with exceptional work ethic.
• Detail oriented with self-motivated attitude.
• Collaborative team focus to support cohesive work team.
• Ability to handle competing priorities with high expectations in a team-oriented environment.
About acuCyber
acuCyber is a small business headquartered in Charleston, SC specializing in assisting clients with their most challenging needs around cyber security, compliance, risk management, IT, security engineering and program management.
acuCyber brings experience across multiple sectors supporting a multitude of customers. We bring value-added, effective, precise support to ensure your cybersecurity and IT needs are met. Your mission becomes our mission. Securely.
group id: 91120692
