AI Security Engineer
VAKULA TECHContract
Required Skillset:
PythonMachine LearningAzureNetworkingProject ManagementNetwork SecurityStatistical AnalysisStakeholder ManagementPoliciesRedundancySystem ReliabilityProgramsRemote TeamsData Protection MeasuresPublic Cloud SolutionsVirtual TeamsSecurity Analyst SupportBusiness DecisionsSQLAWSGCPGDPRSoftware-Defined Networking (SDN)pyTorchNetwork Data ModelingRisk-Driven ModelsDeep Neural Network ArchitecturesCCPANetwork, Sequence, and Dataflow DiagramsCompliance Frameworks (HIPAA, HITRUST, PCI, NIST, CSA)Cyber Resilience StandardsDistributed Cloud and Network InfrastructureInfluencing Industry Security StandardsOpen-Source Projects
Job Description
Basic Qualifications
- 7+ years of experience in developing and deploying security technologies.
- 5+ Years of lead experience in Cloud, Java applications with automation knowledge.
- 3+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions.
- 3+ years of experience in AI/ML
- 3+ years of programming experience using Python, pyTorch, and analytics platforms on various big data platforms, with knowledge of advanced analytics tools to analyze large datasets from various sources.
- Hands-on experience with LLMs and Deep Neural Network architectures, along with SQL expertise.
- Proficiency in Public Cloud (AWS/Azure/GCP) & Network Security.
- Strong experience with implementing and managing data protection measures and compliance with data protection regulations (e.g., GDPR, CCPA).
- Proven track record in leading security initiatives from inception through to successful deployment, demonstrating exceptional project management skills and the ability to navigate complex stakeholder landscapes.
Preferred Qualifications
- Strong technical expertise with Architecting Public Cloud solutions and processes.
- Strong technical expertise with Networking and Software-Defined Networking (SDN) principles.
- Strong technical expertise with developing and interpreting Network, Sequence, and Dataflow diagrams.
- Experience with direct, remote, and virtual teams.
- Understanding of at least one compliance framework (HIPAA, HITRUST, PCI, NIST, CSA).
- Strong technical expertise with security solutions for data warehouses and big data platforms, particularly with technologies like Snowflake.
- Strong technical expertise in defining and implementing cyber resilience standards, policies, and programs for distributed cloud and network infrastructure, ensuring robust redundancy and system reliability.
- Experience in influencing industry security standards and contributing to open-source projects or security communities, highlighting a broader impact beyond the immediate organization.
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