Top 342 Algorithm aws cloud mlops azure cloud Jobs

Cybersecurity Analyst - AI
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- From $80 an hour
- Contract
- Hybrid work
- Background check
- Azure
- Computer Science
Quick Apply
2d
Lead Research Engineer
Thomson Reuters —Eagan, MN
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Senior Architect, AI Solutions Architecture - ETS
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Lead Architect , AI Solutions Architecture - BI/INTL
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Lead Architect , AI Solutions Architecture - Claim
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Lead Architect, AI Solutions Architecture - BSI/Cyber
The Travelers Companies, Inc. —Hartford, CT
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Lead Architect , AI Solutions Architecture - EDDA
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ML/AI Engineers
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Senior Applied AI Engineer (Software Engineering)
loanDepot —Plano, TX
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OptiTrack —Miami, FL
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NTT DATA —Camden, NJ
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Tiger Analytics —Dallas, TX
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Machine Learning Engineer
Adidev Technologies Inc —Seattle, WA
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AI Developer - Model Creation & Full Stack
Everforth ECS —Remote
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Senior Generative AI Engineer
SBT Global, Inc. —Ridgefield Park, NJ
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Cybersecurity Analyst - AI

The Emery Company
Houston, TX

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Job Details

Contract
From $80 an hour
2 days ago

Qualifications

AI models
Master's degree
AWS
Bachelor's degree
Machine learning frameworks

Full Job Description

Looking for an AI Cybersecurity Professional to bridge the gap between artificial intelligence and digital defense. Build machine learning models to detect threats, "red-team" generative AI applications against vulnerabilities and automate incident response.

Core Responsibilities

AI Threat Modeling: Design and execute threat models (using frameworks like MITRE ATLAS) to identify vulnerabilities specific to AI pipelines, such as data poisoning, model inversion, and model theft.
Secure AI Architecture: Partner with engineering teams to build secure-by-default AI implementations, enforcing guardrails and ensuring data confidentiality and integrity.
AI-Driven Detection: Deploy and tune AI/ML tools for automated threat detection, log analysis, and incident response to combat AI-generated malware and attacks.
Model Monitoring: Set up real-time monitoring to detect anomalies in neural network responses or data degradation that might indicate a compromised system.
AI Governance, Risk & Compliance: Align AI development lifecycles with industry frameworks like the NIST AI Risk Management Framework and OWASP AI Security guidelines.
Design, develop, and deploy AI-powered cybersecurity tools for threat detection, vulnerability assessment, and incident response.
Utilize machine learning algorithms to analyze network traffic, system logs, and security alerts for real-time threat identification.
Implement and manage security protocols based on NIST standards, ISO 27000 series, and FedRAMP guidelines to ensure compliance across all systems.
Conduct vulnerability research and assessments on IT infrastructure components such as LAN, WAN, SAN, and cloud environments like AWS and Google Cloud Platform.
Configure and maintain security devices including Cisco ISE, Cisco ASA firewalls, IDS/IPS systems, VPNs, and SIEM platforms like Splunk or New Relic for continuous monitoring.
Lead incident response efforts by analyzing attack frameworks using threat intelligence data, executing incident recovery plans, and documenting system security plans.

Qualifications & Skills

Education: Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related STEM field.
Experience: 3+ years in enterprise cybersecurity, with specific exposure to AI/ML, MLOps, or cloud security.
Technical Proficiency: Hands-on experience with GenAI models, RAG (Retrieval-Augmented Generation) pipelines, and frameworks like PyTorch or TensorFlow.
Strong knowledge of cybersecurity principles such as vulnerability management, system hardening (including SELinux), encryption techniques (PKI), and identity & access management (RBAC, SSO).
Familiarity with cloud computing platforms (AWS, Azure) and virtualization technologies like VMware vSphere or Citrix for secure cloud infrastructure deployment.
Knowledge of compliance frameworks including PCI DSS, FISMA FIPS standards, DIACAP, RMF; ability to develop system security plans aligned with these standards.

Certifications: Professional credentials like CISSP, CISM, or specialized AI security certifications are highly preferred.

Pay: From $80.00 per hour

Education:

Bachelor's (Preferred)

Experience:

AI Cybersecurity : 3 years (Required)
AI Architecture and AI Governance: 3 years (Required)
Cybersecurity Engineer: 9 years (Required)

Work Location: Hybrid remote in Houston, TX 77002

Quick Apply

Refine Your Search

algorithm aws cloud mlops azure cloud jobs

Cybersecurity Analyst - AI

Lead Research Engineer

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Lead Architect , AI Solutions Architecture - BI/INTL

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