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Title: AI/ML Security Engineer or Security Engineer with AI/ML or Cybersecruity Engineer with AI/ML || Remote

Location: Remote

Rate: $75/hr Max  

Need AI/ML Engineer with Security Exp.

Job Description:

Responsibilities

• Review system designs and feature proposals to ensure appropriate data access and storage controls are followed.
• Define, document, and drive processes and patterns for enhancing data security and privacy in the system.
• Collaborate with DevOps engineers to implement appropriate monitoring and logging related to Data movement and access.
• Promote and advocate or data security hygiene in the team and across our users.
• Support incident response and vulnerability resolution as needed.

Skills

• Skilled at communicating complex technical ideas, risks and threats to non-technical audiences.
• Excellent critical thinking, with the ability to research and investigate issues, and propose well thought out solutions.
• Strong ability to work both independently and collaboratively across the organization to achieve outcomes.
• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).
• Strong knowledge of machine learning and security engineering – focused on machine learning (e.g. training data leakage, prompt injection, multi-tenancy workloads, membership inference, etc.).
• Hands-on experience evaluating open-source ML tools, frameworks, and libraries.
• Hands-on experience with commonly used data science programming languages, packages, and tools.
• Hands-on experience with MLOps, DevOps, DataOps and API integrations.

Qualifications

• A bachelor’s degree in computer science, cybersecurity, information security, a similar technical field, or equivalent professional experience can substitute for a degree.
• 8+ years of experience in software development with focus on the Security
• 10+ years of experience in AI/ML systems or Big Data systems.
• Expertise with security threats and mitigations concerning automations built on the non-deterministic output of AI/ML models.
• Hands-on experience w ith deploying and operationalizing AI/ML models to public cloud environments.
• Familiarity with AI/ML model lifecycle
• Familiarity with industry standard frameworks (e.g. NIST CSF)

Preferred

• Expertise with security threats and mitigations involving Gen AI models, including multi-modal models encompassing text, image, audio, and video
• Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.
• Knowledge of Data privacy requirements – HIPAA specifically
• Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits.

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