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Privacy Preserving Machine Learning Jobs in Georgia

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

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 ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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.

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

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

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Job Duties & Responsibilities • Apply machine learning algorithms and statistical models to large ... Privacy Your personal data will be handled in accordance with applicable data protection laws. We ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA · On-site

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Privacy Your personal data will be handled in accordance with applicable data protection laws. We ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Privacy Your personal data will be handled in accordance with applicable data protection laws. We ...

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

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 ...

Visa

Program Manager, GPO Governance

Atlanta, GA · On-site

$114K/yr

If you have a curiosity for learning and a drive to enable business with a privacy by design ... preserving Records of Processing Activities (ROPAs), and assisting with conducting Data Protection ...

Visa

Program Manager, GPO Governance

Atlanta, GA · Hybrid

$114K/yr

If you have a curiosity for learning and a drive to enable business with a privacy by design ... preserving Records of Processing Activities (ROPAs), and assisting with conducting Data Protection ...

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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
Machine Learning / AI Engineer

Machine Learning / AI Engineer

KellyMitchell Group

Atlanta, GA • On-site

$65 - $75/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary
Our client is seeking a Machine Learning / AI Engineer to design, build, and operate production-grade ML systems that drive real business impact with our client. In this role, you will own the full model lifecycle-from problem framing and data engineering through training, deployment, and ongoing monitoring-while collaborating closely with product, data engineering, and software teams.
You will be expected to communicate complex trade-offs clearly to both technical and non-technical stakeholders and champion responsible AI practices across the organization.
Core Responsibilities
  • Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data
  • Build and iterate on models using classification, regression, ranking, clustering, anomaly detection, and NLP approaches
  • Perform feature engineering, dataset creation, labeling strategies, and model evaluation with scientific rigor
  • Implement model interpretability, bias assessment, and responsible AI techniques where applicable
  • Build production-grade ML services and pipelines (batch + real-time), ensuring performance, reliability, and maintainability
  • Deploy models to cloud environments using CI/CD and infrastructure-as-code best practices
  • Implement monitoring for data drift, model drift, latency, throughput, cost, and model quality
  • Maintain versioning for datasets, features, models, and experiments to ensure repeatability and governance
  • Collaborate with data engineering to create robust data pipelines and ensure data quality
  • Integrate ML models into applications through APIs, event streams, or workflow orchestration
  • Document architecture, operational runbooks, and model cards; participate in design reviews and knowledge sharing
Required Skills/Experience (Must-Haves)
  • 4+ years building and integrating APIs (FastAPI / Flask) and 3rd-party API integrations
  • 3+ years (Mid) / 5+ years (Senior) shipping ML systems into production-not just notebooks
  • Strong Python skills and hands-on experience with ML libraries: scikit-learn, PyTorch, TensorFlow, XGBoost
  • Data processing and analytics with Pandas, NumPy, SQL, and Spark
  • Solid ML fundamentals: bias/variance trade-offs, evaluation metrics, cross-validation, feature engineering, error analysis
  • Containerization with Docker and CI/CD pipeline management
  • Version control with Git / GitHub / GitLab
  • Strong SQL skills (SQL Server or Oracle)
  • Scripting in Python, Bash, and/or PowerShell
  • Ability to communicate trade-offs and results clearly to both technical and non-technical stakeholders
  • Experience documenting architecture, model cards, and operational runbooks
  • Cross-functional collaboration in Agile / DevOps environments
Preferred Skills/Experience (Nice-to-Haves)
  • Experience with workflow automation tools and orchestration platforms
  • Background in highly regulated or financial services environments
  • Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Knowledge of Disaster Recovery / Business Continuity Planning processes
Key Competencies & Behaviors
  • Ownership and Accountability
  • Collaborative Communication
  • Scientific and Responsible Decision-Making
Work Environment
  • Location: Atlanta, GA
  • Collaborative, cross-functional environment spanning data engineering, software, and product teams
  • Fast-paced financial services setting with emphasis on ML governance and responsible AI
Compensation & Benefits
  • Pay Range: The approximate pay range for this position is between $65.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
  • Medical, Dental, & Vision Insurance Plans
  • Employee-Owned Profit Sharing (ESOP)
  • 401K offered
About KellyMitchell
At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy

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