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Privacy Preserving Machine Learning Jobs in Georgia

Dolby

Sr Data Researcher -Agentic Systems

Atlanta, GA · On-site

... privacy. Key Responsibilities * Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data ...

Primerica

Enterprise Data Security Architect

Duluth, GA

$180K - $250K/yr

Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate. * Command the ability to ...

Trella Health

AI & Machine Learning * Build and scale the organization's AI/ML capabilities, including ... Governance, Privacy & Compliance * Own data governance, master data management, data quality, and ...

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

... privacy, and regulatory compliance. • Improve model accuracy, efficiency, scalability, and ... Machine Learning (classification, regression, clustering, recommendation systems), Deep Learning ...

RELX

Senior ML Ops Engineer

Atlanta, GA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified ...

Deckers

Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

... machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills * Implement privacy, access, quality, lineage, monitoring ...

Elevance Health

Senior AI Solutions Engineer

Atlanta, GA · On-site

$132K - $198K/yr

You will design, build, and deploy machine learning and LLM-based systems, taking models from ... Familiarity with responsible AI principles (fairness, explainability, privacy). * Experience with ...

Dolby

Sr Researcher - Experience Delivery

Atlanta, GA · On-site

... privacy. Key Responsibilities: * Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data ...

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Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in Privacy Preserving Machine Learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a Privacy Preserving Machine Learning Engineer, and why are they important?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What are popular job titles related to Privacy Preserving Machine Learning jobs in Georgia? For Privacy Preserving Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Georgia look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Privacy Preserving Machine Learning jobs? Cities in Georgia with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you
Enterprise Data Security Architect

Enterprise Data Security Architect

Resolution Technologies

Duluth, GA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Job Description
Enterprise Data Security Architect
The Cybersecurity Security Architect serves a significant role in strategic planning, product design, and solution testing. The position is instrumental in leading the evaluation of technology acquisitions and managing integrations for the company's technology acquisitions. The architect must have extensive knowledge of multiple disciplines/environments as they will be considered a subject matter expert across the enterprise. The role will serve as a leader and guide on projects, providing frameworks, architecture documents, emerging technologies, enterprise data programs, sample application code, and adherence to enterprise standards.
Enterprise Data Security Architect Responsibilities & Qualifications
Enterprise Data Security Architect Minimum requirements
  • Defining overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.
  • Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.
  • Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.
  • Lead threat modeling using frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.
  • Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access governance, and tokenization.
  • Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.
  • Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.
  • Command the ability to properly assess security architecture against regulatory requirements and frameworks.
Enterprise Data Security Architect Preferred requirements
  • This position would require 10 years of security architecture or senior security engineering experience as previously described.
  • 3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments
  • CISSP, CCSP, and CISM highly preferred
  • NIST Cybersecurity Framework practical experience is required
  • SABSA or TOGAF framework experience is also preferred.
  • Deep knowledge of modern cloud security (Azure, AWS, Google Cloud Platform), container/kubernetes security, and zero-trust principles.
  • Strong understanding of AI/ML concepts: model lifecycle, training/inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
  • Proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads.
  • This person would specifically also understand how to deploy and manage security tech such as DLP (Data Loss Prevention), SIEM systems (e.g., Splunk, ELK), tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2).
  • This person would specifically also understand how to lead Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.
  • If requested, provide some indirect or matrix supervisory responsibility as a project manager, although this does not mean formal supervision of team members (e.g., the position doesn't complete performance evaluations, hire or terminate)

Hybrid Role
Location: Duluth, GA
Enterprise Data Security Architect Our Benefits:
  • Day one health, dental, and vision insurance
  • 401(k) Plan with competitive employer match
  • Vacation, sick, holiday and volunteer time off
  • Life and disability insurance
  • Flexible Spending Account & Health Savings Account
  • Professional development
  • Tuition reimbursement
  • Company-sponsored social and philanthropy events

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Technical Recruiter
I'm happy to connect with you on your next career challenge. Whatever your needs are, we at Resolution Technologies promise to provide unrivaled quality and service. Please don't hesitate to contact me if you have any questions about this position.

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