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Privacy Preserving Machine Learning Jobs in Wisconsin

Gainwell Technologies

WI · On-site

$147.20 - $210.30/hr

AI Model Development - Design, build, and train machine learning and deep learning models ... privacy standards. * Automation & Workflow Enhancement - Identify opportunities to automate ...

ABC Supply

Data Architect (954)

Beloit, WI · On-site

$130 - $180/hr

... privacy of our business and technology environment. This is an exciting time for the industry and ... machine learning, Copilot, and AI-driven business capabilities.Partner with executive leadership ...

Socket.dev

WI · On-site

$147 - $231/hr

Write comprehensive Product Requirement Documents (PRDs) for local machine learning models ... Manage user data privacy guardrails for all local profiling and behavioral analytics. Required ...

New

ABC Supply Co.

Data Architect (954)

Beloit, WI · On-site

$62.25 - $80.25/hr

... privacy of our business and technology environment. This is an exciting time for the industry and ... machine learning, Copilot, and AI-driven business capabilities. * Partner with executive leadership ...

Falkor

WI · On-site

$180 - $250/hr

AI, machine learning and data usage governance * Open‑source software compliance * Product risk ... Familiarity with compliance and privacy. * Qualified lawyer preferred. Personal Attributes * We are ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

... machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and ... cybersecurity, privacy, and safety requirements. • Partner with product management and ...

Atonne Group Inc

Conversion Mechanic

Oshkosh, WI · On-site

$27.75 - $36.25/hr

... in preserving and upgrading one of the most iconic aircraft designs in history. Basler Turbo ... Set up and operate fabricating machines such as shears, brakes, presses, forming rolls, and routers ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Wisconsin

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 are popular job titles related to Privacy Preserving Machine Learning jobs in Wisconsin?

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

What job categories do people searching Privacy Preserving Machine Learning jobs in Wisconsin look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Privacy Preserving Machine Learning jobs?

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

Privacy Preserving Machine Learning jobs near you

Sr. Technical Project Manager - SOD Compliance Tool Upgrade

Eightelevengroup

Milwaukee, WI • On-site

$90 - $120/hr

Other

Posted 3 days ago

New

Job description

We are seeking a highly skilled and experienced Senior Technical Project Manager to lead complex, high-visibility initiatives across our privileged access management and automated desktop software delivery technology portfolio. Key scope will include leading the Implementation to a new SOD Compliance Tool. In this role, you will be responsible for driving end-to-end project delivery, coordinating cross-functional teams, managing risks, and ensuring solutions meet business objectives, technical standards, and timeline commitments. You will serve as the bridge between business stakeholders and technical teams, translating strategic goals into actionable plans while ensuring alignment with organizational priorities.

Key Responsibilities
  • Project Planning & Execution
    • Develop and manage comprehensive project plans, timelines, budgets, and resource allocations.
    • Monitor progress, adjust plans as needed, and ensure timely delivery of high-quality outcomes.
  • Stakeholder Management
    • Act as the primary point of contact for project sponsors, business leaders, and technical teams.
    • Facilitate effective communication between technical and non-technical stakeholders.
    • Provide clear and consistent project updates, including executive-level reporting.
  • Technical Leadership
    • Partner with architects, engineers, and product managers to ensure technical feasibility and alignment with standards.
    • Understand and communicate technical dependencies, risks, and trade-offs.
    • Guide teams through technical decision-making while balancing business priorities.
    • Assist with the development and/or review of deliverables such as test plans, communications, end-user documentation, knowledge articles, etc.
  • Risk & Issue Management
    • Identify, assess, and proactively manage risks and issues that may impact project success.
    • Develop contingency plans and elevate critical blockers as needed.
  • Process & Quality
    • Champion project management best practices, tools, and methodologies (Agile, Scrum, Waterfall, or hybrid approaches).
    • Ensure projects adhere to compliance, security, and quality standards.
Qualifications Required
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent work experience).
  • 7+ years of experience in project management with at least 4 years managing technical cybersecurity or IT-related projects.
  • Background in SOD Compliance tools deployment.
  • Proven track record of successfully delivering complex, cross‑functional projects in fast‑paced environments.
  • Excellent leadership, communication, and stakeholder management skills.
  • Strong understanding of Agile Methodologies.
  • High proficiency in project management tools (e.g., Jira, Jira Align, MS Project).
Preferred
  • PMP, PMI‑ACP, CSM, or equivalent certification.
  • Strong understanding of software development lifecycles, cloud technologies, infrastructure, and integration projects.
  • Basic understanding of AI technologies including machine learning, natural language processing, generative AI, and agentic systems, with a focus on their practical applications in project delivery and IT operations.
  • Proficiency in using enterprise‑approved AI tools and platforms (e.g., Co‑Pilot, GitHub, Claude, Windsurf) to enhance project planning, execution, automation, and data‑driven decision‑making.
  • Familiarity with responsible AI principles, including data privacy, security, and regulatory compliance, and the ability to incorporate these considerations into project workflows.
  • Strong cross‑functional collaboration skills, with experience leading or contributing to AI‑related initiatives or broader digital transformation efforts across diverse teams.
  • Experience and comfortable acting as a scrum master.
  • Adaptability and commitment to continuous learning, especially in response to the rapidly evolving AI landscape and emerging technologies relevant to project management and enterprise operations.
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