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Privacy Preserving Machine Learning Jobs in Cleveland, OH

... the Privacy Act. * Design, develop, and maintain advanced decision support tools, including ... and machine learning techniques. Able to utilize data visualization tools to create decision ...

... and machine learning, intrusion detection and prevention, and various anti-malware solutions to ... privacy protection, network security practices, and security framework compliance to projects and ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

... Machine Learning applications. This is a high-impact role where you will set the standards for data ... privacy rights here.

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

... Machine Learning applications. This is a high-impact role where you will set the standards for data ... privacy rights here.

AI Strategist

Cleveland, OH

$117K - $152K/yr

AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, ... privacy rights here.

AI Strategist

Cleveland, OH · On-site

$117K - $152K/yr

AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, ... privacy rights here.

Showing results 41-60

Privacy Preserving Machine Learning information

See Cleveland, OH salary details

$96.5K

$112K

$125.6K

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 Cleveland, OH is $112,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $125,100.00 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 Cleveland, OH?

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

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

The top searched job categories for Privacy Preserving Machine Learning jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Privacy Preserving Machine Learning jobs?

Cities near Cleveland, OH with the most Privacy Preserving Machine Learning job openings:

IT Specialist 6 month Register-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Independence, OH • On-site

$106K/yr

Full-time

Posted 2 days ago

New


Internal Revenue Service rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies


Job description


WHAT IS Information Technology Division?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT -
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Teamwork and 9) Technical Competence.
SPECIALIZED EXPERIENCE GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Applying IT principles, methods, and engineering practices to develop, implement, integrate, maintain, troubleshoot, or enhance IT systems, cloud services, databases, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Developing, configuring, testing, deploying, documenting, or supporting IT solutions while ensuring compliance with applicable cybersecurity, privacy, accessibility, and regulatory requirements.
  • Collaborating with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Evaluating system, service, cloud or application performance, availability, reliability, usability, and operational effectiveness; identifying technical issues, risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the appropriate technologies, architectures, engineering approaches, or implementation strategies to support organizational objectives.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Designing, developing, implementing, integrating, or supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Natural Language Processing (NLP), predictive analytics or related technologies within an IT environment
  • Evaluating AI-enabled systems for performance, reliability, security, scalability, or operation effectiveness and recommending technical improvements
  • Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Implementing, configuring, integrating, or supporting cybersecurity technologies, security controls, cloud security, identity management, security monitoring, or enterprise security solutions.
  • Analyzing cybersecurity threats, vulnerabilities, incidents, compliance requirements or operational risks and recommending or implementing mitigation strategies.
  • Evaluating systems, applications, cloud environments, or enterprise architectures to ensure compliance with cybersecurity requirements, security frameworks, or risk management principles.

SPECIALIZED EXPERIENCE GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
  • Leading or serving as the technical authority for complex IT projects, enterprise applications, cloud services, cybersecurity initiatives, systems integration efforts, or modernization programs affecting multiple organizations or business functions. Applying advanced IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements.
  • Leading collaboration among customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or modernization efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists regarding enterprise architectures, technologies, cloud services, cybersecurity controls, engineering standards, or implementation strategies with organizational impact.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Leading or providing technical direction for AI, machine learning, or Generative AI solutions supporting enterprise business operations.
  • Evaluating AI technologies, architecture, models, infrastructure or implementation strategies and recommend solutions or improvements.
  • Developing or implementing technical approaches for AI governance, security, privacy, explainability, risk management, reliability, or responsible AI practices.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Leading technical direction for the development, implementation , assessment, or improvement of cybersecurity programs, architectures, controls or solutions within an IT environment.
  • Evaluating enterprise cybersecurity risks, threats, vulnerabilities, cloud security architectures, and technical requirements to develop or recommend risk mitigation strategies.
  • Developing enterprise cybersecurity standards, technical guidance, security architectures or engineering solutions supporting secure IT operations.

Please refer to EDUCATION for remaining Qualifications
For more information on qualifications please refer to OPM's Qualifications Standards.Education:QUALIFICATIONS CONTINUED
SPECIALIZED EXPERIENCE GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in Federal service. Specialized experience for this position includes:
  • Directing, overseeing, or providing strategic guidance for major IT programs, enterprise-level projects, technology modernization efforts, or high-visibility initiatives with broad organizational, agency-wide, or mission impact.
  • Applying IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements..
  • Collaborating with executives, senior leaders, customers, stakeholders, program or product leaders, and technical organizations to define mission needs, set priorities, and direct implementation of secure, resilient, scalable, and mission-effective IT solutions.
  • Overseeing enterprise technology governance, risk management, modernization planning, and implementation efforts across multiple organizations. Evaluating competing technical, operational, software, and strategic approaches and advising senior leadership or executive stakeholders on decisions, tradeoffs, policies, standards, governance, and resolution of IT challenges that affect mission delivery.
And
ARTIFICIAL INTELLIGENCE EXPERIENCE
Experience that includes one or more of the following:
  • Leading enterprise AI strategies or directing the design, development, integration, or implementation of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, or related technologies.
  • Establishing enterprise AI architectures, governance, technical standards, security requirements, or modernization strategies.
  • Advising executive leadership regarding AI strategy, responsible AI implementation, enterprise data architecture, vendor capabilities, or AI-enabled modernization initiatives.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Providing executive-level technical leadership for enterprise cybersecurity, cloud security, Zero Trust, identity management, enterprise risk management, or infrastructure protection initiatives.
  • Developing enterprise cybersecurity architectures, modernization strategies, technical standards, or risk management frameworks.
  • Advising executive leadership regarding enterprise cybersecurity strategy, emerging threats, modernization priorities, technology investments, or government-wide cybersecurity initiatives.


    You must also meet the following requirements

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

EDUCATION
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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