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Privacy Preserving Machine Learning Jobs in Atlanta, GA

TriNet

Staff MLOps Engineer

Dunwoody, GA · On-site

Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. * Stay updated with the ...

TriNet

Staff MLOps Engineer

Atlanta, GA · On-site

Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the ...

TriNet

Staff MLOps Engineer

Dunwoody, GA

Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. * Stay updated with the ...

Primerica

Enterprise Data Security Architect

Duluth, GA · On-site

$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 ...

Dolby

Senior Database Researcher

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 ...

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 ...

Dolby

Senior Database Researcher

Atlanta, GA · On-site

$64.75 - $86.50/hr

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

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

These practices are applied thoughtfully and with respectforcandidate privacy. What is the ... Work with engineers to design and implement scalable machine learning pipelines, covering all ...

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 ...

NTT DATA Americas, Inc

AI / ML Engineer

Sandy Springs, GA · On-site

$60 - $70/hr

The ideal candidate should have strong hands-on experience with Python, machine learning frameworks ... Understanding of responsible AI, model governance, security, and data privacy. Experience ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Atlanta, GA

Privacy Preserving Machine Learning information

See Atlanta, GA salary details

$95.7K

$111.1K

$124.5K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for privacy preserving machine learning in Atlanta, GA is $111,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $124,100.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Privacy Preserving Machine Learning jobs in Atlanta, GA?

For Privacy Preserving Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Atlanta, GA are:

Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,076 per year, or $53.4 per hour.

Staff MLOps Engineer

TriNet

Dunwoody, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

TriNet rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

158th of 500 rated business services

Job description


TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance.
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR.
Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles.
A Brief Overview
As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models.
What you will do
  • Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems.
  • Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models.
  • Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency.
  • Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows.
  • Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance.
  • Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability.
  • Solve complex and ambitious problems by crafting elegant and impactful solutions.
  • ontributes to technical innovations along with defining coding standards
  • entors and support other members of the software development team and contribute to the software development best practices.
  • Performs other duties as assigned
  • Complies with all policies and standards

Education Qualifications
  • Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred

Experience Qualifications
  • Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required
  • Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required
  • Experience with CI/CD pipelines, version control systems (Git), and automation tools.

Skills and Abilities
  • Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects
  • Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models
  • Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
  • Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams
  • Knowledge of Reporting tools like Tableau is desired
  • Excellent verbal and written communication skills
  • Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment.
  • Solid understanding of machine learning concepts, model development, and deployment strategies.

Travel Requirements
Minimal
Work Environment
  • Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.

The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience.
A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan.
Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: https://www.trinet.com/documents/blt5b61a1040aae1904
Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.

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