| AI ML Security Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Manish, Tanisha Systems [email protected] Reply to: [email protected] AI/ML Security Engineer Location: Remote Contract 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 3+ 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 with 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. Candidate must be proficient in two of these 3 Coding skills - Python, Terraform, Shell Scripting The role is for Sec Ops with exposure to AIML. The person should have knowledge on the AI ML lifecycle. The basic coding skills on candidate preferred technology (guessing python or terraform). Candidate must turn on the video Candidate must have an IDE (with co-pilot disabled) Candidate must be able to access the meeting invite chat (for accessing the coding example and any supporting files if needed.) For every profile the candidate should be evaluated on the above coding skills along with the general evaluation, the result of which will be shared with the client. Regards, Manish Rawat Tanisha Systems Inc. 75 Federal St, Boston, MA 02110 [email protected] | (M) (732) 377-3513 Keywords: artificial intelligence machine learning Colorado Massachusetts AI ML Security Engineer [email protected] |
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| Tue Jul 02 04:56:00 UTC 2024 |