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Privacy Preserving Machine Learning Jobs in Wisconsin

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

AgSource

AI Engineer

Watertown, WI · On-site +1

Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Farm Systems

AI Engineer

Watertown, WI · On-site

Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Apex Systems

AI Solutions Engineer

Madison, WI · On-site +1

Design, build, and deploy production-grade Machine Learning and Generative AI solutions ... You can access our privacy policy at Everforth Apex Benefits Overview: Everforth Apex offers a ...

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 ...

Iron Mountain

Library Project Specialist

Cudahy, WI

$25/hr

... data privacy in innovative and socially responsible ways. Are you curious about being part of our ... Opportunities for continuous learning and professional growth Category: Operations Group

Astec Industries

Production Planner

Burlington, WI · On-site

... to continuous learning, process improvement, and embracing change, including the planned ... individuals • Preserving entrepreneurial spirit and innovation • Safety, quality and ...

Jerry's Enterprises, Inc.

Pharmacy Technician

Hudson, WI · On-site

$23.55/hr

Is motivated to grow their career and continue learning Other * High School Degree or GED required ... Privacy We respect our applicants' privacy. Applicants will be required to provide specific ...

Jerry's Enterprises, Inc.

Deli

Hudson, WI · On-site

$19.25/hr

Is motivated to grow their career and continue learning GROW with Jerry's G ain new lifelong skills ... Privacy We respect our applicants' privacy. Applicants will be required to provide specific ...

Lifepoint Health

Pharmacy Technician

Howard, WI

$17 - $20.75/hr

... machines * Restocks usable medications/IVs returned to the pharmacy * Files medication orders ... Ongoing learning and career advancement opportunities. * Opening a Brand-New Hospital : Join a team ...

Lifepoint Health

Pharmacy Technician

Howard, WI · On-site

$17 - $20.75/hr

... machines * Restocks usable medications/IVs returned to the pharmacy * Files medication orders ... Ongoing learning and career advancement opportunities. * Opening a Brand-New Hospital : Join a team ...

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Privacy Preserving Machine Learning information

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 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 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 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
AI Engineer

AI Engineer

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 29 days ago

Job description

Job Description
VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
This role will be focused on embedding LLMs, agent-based systems, and automation into core development workflows-boosting productivity, reducing manual toil, and accelerating delivery, essentially transforming how our engineers build, test, and ship software.
Responsibilities
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value.
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth.
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices.
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI strategy.
  • Continuously assess emerging AI tools and make data-driven recommendations.
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact.
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning.
  • Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows.
  • LLM Agents & Prompt Engineering
    • Architect and implement LLM agents.
    • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
    • Integrate vector databases and knowledge graphs to support retrieval-augmented generation (RAG).
    • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Model Context Protocol (MCP) & Backend
    • Develop and maintain scalable APIs, supporting synchronous and asynchronous agent execution.
    • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
    • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
  • Evaluation, Testing & Observability
    • Build unit and behavioral tests for agents, tools, and workflows.
    • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
    • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
  • Model Fine-Tuning & MLOps
    • Integrate, deploy, fine tune and monitor models in production using cloud providers.
    • Set up agent logging, observability dashboards, and recovery workflows.
  • Front-end & User Experience
    • Collaborate with front-end developers or build user-facing components using React, TypeScript.
    • Ensure seamless user and agent interaction via UI and API bridges.

Education & Experience Requirements
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or related field preferred.
  • 10+ years of experience in software development and design.
  • Proven experience in AI/ML solution design and hands experience with AI-powered development tools. 3+ years of experience preferred.
  • Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ years of experience preferred).
  • Hands-on experience with deep learning frameworks.
  • Experience with RAG pipelines, vector databases, and agentic frameworks.
  • Familiarity with cloud-based AI services.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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