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BUILD YOUR PATH
OPPORTUNITIES ARE HERE AND THEY ARE MEANT TO BE TAKEN
WOULD YOU?
AI Data Privacy Engineer
Full time
Information Technology AI
México
Salary Range: US$60,000.00 to US$90,000.00* per Annually
*Depending on experience, capabilities & performance
CA-IT-IA-9903
Job Description
Key Responsibilities:
Anonymization, differential privacy implementation, and data lifecycle management.
Privacy Architecture Design: Creating technical frameworks for data minimization and anonymization in LLM workflows.
Automated Redaction Systems: Developing and maintaining high-accuracy PII scanners that intercept and mask sensitive data in real-time.
Data Governance for RAG: Implementing Role-Based Access Control (RBAC) at the embedding level to ensure the AI only retrieves data the user is authorized to see.
Privacy-Preserving ML: Implementing techniques like Differential Privacy or Synthetic Data generation for model evaluation and testing.
Technical Audit Support: Providing evidence of data handling practices for regulatory reviews and client security assessments.
Key Activities:
Implementing PII scanners, managing data retention policies, and encrypting data at rest.
PII Pipeline Engineering: Building Python-based services using Regex, NLP (Presidio), or specialized NER models to scrub logs and prompts.
Differential Privacy Implementation: Applying mathematical noise to datasets used for AI benchmarking to prevent individual re-identification.
Data Lifecycle Automation: Scripting the "Right to be Forgotten" within Vector Databases, ensuring specific user data can be completely purged upon request.
Secure Enclave Management: Managing Trusted Execution Environments (TEEs) or confidential computing instances where sensitive AI processing occurs.
Risk Assessment: Collaborating with the Compliance Lead to translate legal requirements into technical code constraints.
Academic Skills and Qualifications
Degree in Computer Science or Privacy Engineering: A Bachelor’s or Master’s degree in CS, Data Science, or the relatively new field of Privacy Engineering.
Differential Privacy Theory: Deep academic understanding of Differential Privacy (DP) frameworks to add mathematical noise to datasets, ensuring individual real estate transactions cannot be re-identified.
Privacy-Enhancing Technologies (PETs): Specialized knowledge in Homomorphic Encryption, Secure Multi-Party Computation (SMPC), and Trusted Execution Environments (TEEs).
Advanced Data Anonymization: Mastery of K-anonymity, L-diversity, and T-closeness models for structured real estate databases (MLS feeds).
LLM PII Detection: Expertise in Natural Language Processing (NLP) specifically for the automatic detection and redaction of Personally Identifiable Information (PII) within long-form text.
Knowledge of Global Privacy Regulations: Academic and practical mastery of GDPR (Europe), CCPA (USA), and Mexico’s LFPDPPP, specifically regarding "automated decision-making."
Data Minimization Principles: Theoretical knowledge of how to architect data pipelines that only collect the absolute minimum data required for Claude to function.
Machine Unlearning: Research or coursework in "Machine Unlearning" – the ability to remove specific data points from a model’s training set or RAG (Retrieval-Augmented Generation) memory.
Database Security & Encryption: Proficiency in implementing Field-Level Encryption (FLE) and Tokenization in both SQL and Vector Databases (Pinecone/Weaviate).
Information Theory: Understanding of Shannon Entropy and information leakage to quantify how much "private info" an AI agent might be revealing in its responses.
Privacy Impact Assessment (PIA): Academic grounding in conducting formal audits to identify and mitigate privacy risks before a new AI feature is deployed.
Federated Learning Foundations: Knowledge of decentralized machine learning techniques where data stays on local agency servers while the AI "learns" centrally.
Key Skills and Qualifications:
CIPP/E, Python, deep knowledge of data masking techniques.
Technical Privacy Mastery: Deep understanding of K-anonymity, L-diversity, and Differential Privacy.
Programming: Advanced Python and experience with data engineering tools (Spark, Airflow).
Encryption Expertise: Proficiency in Homomorphic Encryption or secure multi-party computation (MPC) is a major plus.
Security Frameworks: Familiarity with OWASP Top 10 for LLMs and NIST Privacy Framework.
Certifications: CIPT (Certified Information Privacy Technologist) or CDPSE (Certified Data Privacy Solutions Engineer).
Work Experience:
3+ years in Data Privacy or Security.
Daily Job Schedule:
The daily job schedule will follow the standard working hours of the company, typically from 9:00 AM to 5:00 PM. However, occasional flexibility may be required to meet project deadlines or collaborate with remote team members.
What we offer!
At our organization, we work hard to establish a welcoming environment that draws in and keeps great people. We are aware of the importance of a supportive workplace environment for our employees' success and happiness. Here is a summary of the ideal workplace culture we provide to attract all job hopefuls:
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An inclusive and diverse culture is important to us because we think that different viewpoints and experiences foster better creativity and problem-solving. Every employee feels accepted, valued, and empowered to offer their special thoughts and experiences because we promote an inclusive atmosphere.
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We encourage teamwork and collaboration because we know that when people work together, they typically get the best results. To create a friendly and supportive workplace, we promote open communication, idea exchange, and cross-functional cooperation.
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Opportunities for Growth and Development: We place a high priority on our workers' continued development. To improve their skills and expertise, we provide a range of learning and development programs, mentorship opportunities, and ongoing training. We give employees a clear career path and aid them in reaching their professional objectives.
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Work-Life Balance: We are aware of how crucial it is to keep a positive work-life balance. We encourage employees to take time off to recover and pursue personal interests and we provide flexible work schedules, remote work opportunities (where appropriate), and other benefits. We think that having a healthy work-life balance makes people happier and more effective.
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Recognizing and rewarding hard work and contributions from employees is important to us. We offer benefits and attractive salary packages that are in line with industry standards, and we have a structured recognition program that recognizes excellent achievement.
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Employee Support: We place a high priority on our employees' support and well-being. We provide access to services for both physical and mental health as well as comprehensive health insurance policies, wellness initiatives, and programs. We encourage staff to express their concerns or ask for help when necessary and maintain an open-door policy.
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Environment for Innovation and Creativity: We promote an atmosphere for innovation and creativity. We give workers the freedom, autonomy, and resources they need to try out novel concepts, innovative ideas, and cutting-edge technologies. We support questioning the status quo and making continual improvements to our procedures and products.
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Social responsibility and sustainability are important to us because we want to have a beneficial influence on both people and the environment. We offer volunteer opportunities, sustainability programs, and corporate social responsibility activities so that staff members can support worthwhile causes and change the world.
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Transparent Communication: We support open lines of communication and educating staff on new initiatives, objectives, and tactics. We have regular town halls, team meetings, and offer avenues for comments and feedback. We value candid conversation and welcome employee ideas and input.
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Fun and Engaging Activities: We are committed to fostering a positive work environment. We plan social events, team-building exercises, and joint milestone and achievement celebrations. We support an upbeat, welcoming environment where humor and creativity flourish.
Benefits
Health & Wellness
Fitness & Recreation
Health Insurance
Life Insurance
Continuing Education
Training & General Education
Foreign Language
Family
Flexible Scheduling
Child Care
Finance
Retirement Plan
Bonus / Compesation
Free Time
Paid Off Time
Sick Leave
Law Enforcement & Veteran Benefits
Special Discounts
Special Learning Programs
DISCLAIMER
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world.
IMPORTANT: earnings and legal disclaimers Carlos Ayala is an Internet marketing and security professional and his results are not typical. Your experiences are not a guarantee that you will earn money. You can do more, less or the same or nothing at all. This is purely educational. No income is guaranteed.
Only serious and ambitious entrepreneurs please apply.
Prices are subject to change without notice. No refunds will be allowed for tickets at any price level. If for some reason you cannot attend the events that are organized, you will receive full credit for your investment in my store (iamcarlosayala.com). There is no risk for your investment with me today.