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Privacy Preserving Machine Learning Jobs in Georgia

AI/Machine Learning Engineer

Decatur, GA ยท On-site

$95K - $130K/yr

Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines ... deploying machine learning models8+ years of experience with Generative AI, LLMs, or RAG ...

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to ... Ensure data privacy by implementing appropriate security measures. * Documentation : Maintain clear ...

From body-worn cameras and SaaS platforms to machine learning models and global privacy frameworks, you'll play a critical role in answering complex questions in highly regulated markets around the ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and ...

... Machine Learning, and Generative AI. * Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring. Required Qualifications * Bachelor's or ...

This role involves advanced analytics, machine learning, and strong problem-solving skills to ... Ensure ethical data practices, including privacy and compliance with data protection regulations.

This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Ensure data handling practices meet ethical standards, including privacy and compliance with ...

This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Ensure ethical data practices and compliance with data privacy regulations * Maintain documentation ...

Showing results 41-60

Privacy Preserving Machine Learning information

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?

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 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 cities in Georgia are hiring for Privacy Preserving Machine Learning jobs?

Cities in Georgia with the most Privacy Preserving Machine Learning job openings:

Infographic showing various Privacy Preserving Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution.

AI/Machine Learning Engineer

Metas Solutions

Decatur, GA โ€ข On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Us:Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.Job Description:Metas Solutions has an "immediate opening" for a strategic AI-ML Engineer technical lead supporting the modernization of public health platforms through the design, development, and deployment of advanced AI capabilities. This position integrates cutting‑edge technologies-including AI agents, retrieval‑augmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and unstructured public health data, drive real-time insights, and strengthen decision-making across mission-critical environments.This position is responsible for architecting and optimizing AI systems, including data modeling for AI agents, memory and state management, RAG pipeline construction, and performance tuning of retrieval processes tailored to public health use cases. The role develops and implements rigorous AI evaluation strategies to ensure high-quality, trustworthy outputs and scalable performance across deployed solutions. This position is located in Atlanta, GA and will require on-site support. Responsibilities:Integrate cutting‑edge AI technologies-including AI agents-to enhance platform functionality, enable dynamic data interaction, and support real-time insights and decision-making.Develop and implement rigorous AI evaluation strategies to ensure reliability, performance, and continuous improvement across deployed AI solutions.Lead the design of foundational system architecture, including data modeling for AI agents, memory and state management, and construction and optimization of RAG pipelines.Drive performance optimization of retrieval workflows for public health use cases while defining and upholding strict data quality, curation, and documentation standards in collaboration with cross-functional AI teams.Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines essential to responsible public health data management.Qualifications:Bachelor's degree in technology, Engineering, or Computer Science.8+ years of experience designing, developing, and deploying machine learning models8+ years of experience with Generative AI, LLMs, or RAG applications8+ years of hands-on experience with Python for ML and data engineeringExperience with Azure Experience in SQL for data manipulation and feature engineeringKnowledge of MLOps tools (MLflow)Ability to support on-site work in Atlanta, GAAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements  Additional Preferred Qualifications:Experience in data-centric AI or ML projects within healthcare, biomedical, or public health sectorsExperience with full-stack development or deploying end-to-end ML applicationsExperience with deploying ML solutions using Mols pipelinesKnowledge of government public health data architecture and systemsKnowledge of chatbot development or conversational AIKnowledge of Agile workflows and tools like Azure DevOps or JIRAPossession of excellent oral and written communication skillsAbility to collaborate in a matrixed environmentSecurity, Salary, and Benefits:Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.Market competitive salary, commensurate with experience and education.Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.Notice on Candidate AI UsageMetas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third-party resources to generate, assist with, or provide interview responses during phone, virtual, or in-person interviews is not permitted. Any use of AI-assisted responses during the interview process may result in disqualification from further consideration for employment.We are an Equal Opportunity Employer/Veterans/Disabled