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Privacy Preserving Machine Learning Jobs in Oregon

... VA security and privacy requirements including annual security awareness training. Must be ... Exposure to artificial intelligence, machine learning, or robotic process automation (RPA) ...

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Privacy / Accessibility * About Us * What We Do * Our Experience * Careers * Contact

OR · On-site

... privacy regulations and ethical considerations when working with customer data. What you bring: * 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI ...

... VA security and privacy requirements including annual security awareness training. Must be ... Exposure to artificial intelligence, machine learning, or robotic process automation (RPA) ...

Develop, validate, and maintain advanced statistical models and machine learning algorithms to ... while preserving fill rates. 25% - Workflow Automation & Analytics Integration * Seamlessly ...

Develop, validate, and maintain advanced statistical models and machine learning algorithms to ... while preserving fill rates. 25% - Workflow Automation & Analytics Integration * Seamlessly ...

OR · On-site

... machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of ...

Solid understanding of AI security: familiarity with AI-specific vulnerabilities (e.g., OWASP Top 10 for LLMs) and experience securing data privacy within machine learning pipelines * Hands-on ...

$90K - $140K/yr

Demonstrated experience implementing AI and machine learning solutions. * Deep understanding of ... Experience supporting Legal, Compliance, Risk, Privacy, or Regulatory functions. * Experience ...

OR · Hybrid

Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance ... Solid foundation in ML fundamentals with practical experience in the full machine learning ...

Experience with implementing and integrating AI, Machine Learning and related data solutions ... Must have an understanding of enterprise security and privacy requirements associated with the ...

OR · On-site

$80K - $81K/yr

Build modern data platforms that enable advanced analytics, machine learning, AI, and enterprise ... Ensure compliance with HIPAA, PHI, PII, privacy, security, and applicable regulatory requirements.

OR

$64.75 - $85/hr

Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR ... AWS Specialty certifications (Machine Learning - Specialty, Security - Specialty). * Experience ...

$200K - $315K/yr

... data privacy, model provenance, and audit trails for agent decision-making. AI Innovation ... Machine learning and deep learning fundamentals * Platform abstraction and vendor-independent ...

Showing results 41-60

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?

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 job categories do people searching Privacy Preserving Machine Learning jobs in Oregon look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Privacy Preserving Machine Learning jobs? Cities in Oregon with the most Privacy Preserving Machine Learning job openings:

Budget Application, Automation, and Artificial Intelligence Support Specialist

Artemis Arc

On-site

Full-time

Re-posted 6 days ago


Job description

Requisition ID2026-4477Job Summary

We are seeking a skilled Budget Application, Automation, and Artificial Intelligence Support Specialist to provide programmatic support to the Veterans Health Administration (VHA) Specialty Care Program Office under the IHT 2.0 contract vehicle. In this role, you will design, develop, and maintain web-based and client-server applications that streamline budget operations and introduce automation and AI-driven efficiencies across VHA specialty care programs with an opportunity to work closely with users to define requirements, develop specifications, and apply your programming and analysis skills to support the development and maintenance of data/process models and related work plans/projects. Your vital work will directly support the Department of Veterans Affairs' mission to deliver high-quality, data-informed healthcare services to our nation's Veterans. The ideal candidate is a detail-oriented, solutions-driven, and VA-experienced application developer who thrives in a collaborative federal healthcare environment, can translate complex user requirements into reliable software, and is comfortable working across multiple concurrent project workstreams with minimal supervision.

Primary Responsibilities

Design, develop, and modify web-based applications, client-server applications, and OS scripts to automate budget and programmatic workflows within the VHA Specialty Care Program Office.Perform application development and database programming using Relational Database Management Systems (RDBMS) and SQL, ensuring data integrity, performance, and alignment with VA enterprise architecture standards.Implement and integrate Commercial Off-the-Shelf (COTS) software solutions into existing VA system architectures, coordinating with stakeholders to ensure seamless adoption and minimal operational disruption.Lead and support the full software development lifecycle - including planning, requirements analysis, specification writing, coding, testing, debugging, and production implementation - in accordance with an approved Systems Development Methodology (SDM).Document test conditions, develop test data sets, execute program testing, and analyze results to identify defects and validate that solutions meet functional and technical requirements; support users during acceptance testing phases.Research and evaluate emerging technologies - including automation tools and artificial intelligence/machine learning frameworks - to recommend and prototype enhancements that improve budget application performance, reporting capabilities, and process efficiency across VHA program operations.

Minimum Qualifications

Minimum of 8 years of hands-on experience in application development and programming, including web-based applications, client-server solutions, and scripted process automation. Bachelor's Degree (BA/BS) in Computer Science, Information Technology, Software Engineering, or a closely related technical field is required. Prior experience supporting federal agency IT programs - preferably within the Department of Veterans Affairs (VA), VHA, or a comparable federal healthcare or civilian agency environment - is strongly desired. Ability to obtain and maintain a VA Position of Public Trust (suitability clearance); candidate must be eligible for VA network access and comply with all VA security and privacy requirements including annual security awareness training. Must be authorized to work in the United States without sponsorship; this position supports a federal government contract and may be subject to additional background investigation requirements. Demonstrated proficiency in applying a formal Systems Development Methodology (SDM), writing program specifications, and maintaining technical and process documentation consistent with federal IT project standards.

Desired Qualifications

Experience developing or supporting budget management applications, financial systems, or programmatic reporting tools within a federal or VA healthcare environment.

Familiarity with VA-specific platforms, tools, or frameworks such as the VA Enterprise Cloud (VAEC), Power Platform (Power Automate/Power BI), or VA's CDW/SQL Server environment.

Exposure to artificial intelligence, machine learning, or robotic process automation (RPA) technologies and their application to healthcare operations or federal program management.

Knowledge of VA/VHA data governance standards, 508 compliance requirements, and federal information security frameworks such as FISMA and NIST SP 800-53.

Experience assisting in the development of data models, process models, and project work plans within an Agile or hybrid Agile-Waterfall delivery environment.

Employment Type: OTHER