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Privacy Preserving Machine Learning Jobs in Wisconsin

Netherlands

WI · On-site

$120 - $180/hr

... machine learning, statistical modeling, or something entirely different. You'll build scalable applications from proof‑of‑concept to production, always keeping security and privacy top of mind.

New

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Address issues related to data privacy, security, and biases in AI systems. * Uphold company ...

Abbott

Sr. Engineer, AI Platform

Madison, WI

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Address issues related to data privacy, security, and biases in AI systems. * Uphold company ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Address issues related to data privacy, security, and biases in AI systems. * Uphold company ...

Johnson Controls

Sr. Solution Architect

Milwaukee, WI · On-site

Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning ... Embed security, privacy, accessibility, compliance and Responsible AI requirements from the outset.

Johnson Controls

Sr. Solution Architect

Milwaukee, WI · On-site

Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning ... Embed security, privacy, accessibility, compliance and Responsible AI requirements from the outset.

New

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

... privacy, and ethical AI practices, and embed them into development workflows Core AI Engineering ... machine learning to modern generative AI, choosing the simplest tool that solves the problem.

Farm Systems

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

... privacy, and ethical AI practices, and embed them into development workflows Core AI Engineering ... machine learning to modern generative AI, choosing the simplest tool that solves the problem.

Urus

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... privacy, and ethical AI practices, and embed them into development workflows Core AI Engineering ... machine learning to modern generative AI, choosing the simplest tool that solves the problem.

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... privacy, and ethical AI practices, and embed them into development workflows Core AI Engineering ... machine learning to modern generative AI, choosing the simplest tool that solves the problem.

Landmark Credit Union

VP, Analytics & AI

Brookfield, WI · On-site

Strong understanding of data modeling, analytics techniques, machine learning concepts, modern data ... Experience establishing data governance, data quality, privacy, security, model governance, and ...

landmarkcu

VP, Analytics & AI

Brookfield, WI

Strong understanding of data modeling, analytics techniques, machine learning concepts, modern data ... Experience establishing data governance, data quality, privacy, security, model governance, and ...

Tech Mirrors

WI · On-site

$150 - $230/hr

Data Security & Privacy * Master Data Management (MDM) * Familiarity with Modern Data Platform ... Machine Learning. * Ensure compliance with banking regulations, security, governance and risk ...

Neura Market

WI · On-site

$109 - $215/hr

... a machine learning background. Joining this team, you will be pivotal in a product engineering ... preserving original functionality * Develop and maintain a robust code parser to accurately ...

New

Healthcareis

WI · On-site

$120 - $150/hr

Work with Information Security and Privacy Officer to implement data management practices ... Establish a data science program for Artificial Intelligence and Machine Learning. * Manage the ...

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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

AI Engineer

Netherlands

WI • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

Ready to drive success within our Analytics Domain?

Are you a versatile AI engineer who sees technology as a means to solve real business problems—not just as an end in itself? Do you enjoy challenging assumptions, uncovering the true needs behind a client’s request, and crafting tailored solutions that make a lasting impact?

At Datashift, we’re looking for a (gen)AI Engineer who thrives at the intersection of business and technology. You’ll work closely with clients to reveal the core challenges before diving into solutions, selecting the best‑fit approach—whether it’s generative AI, machine learning, statistical modeling, or something entirely different. You’ll build scalable applications from proof‑of‑concept to production, always keeping security and privacy top of mind.

Responsibilities

Understand business requirements and dare to challenge clients to clearly pinpoint the underlying problem

Reveal the underlying business problem before diving into the solution.

We see AI— in the broad sense— as a means, not as goal. We’re looking for a versatile engineer that dares to come out of the comfort zone and searches for the best technology to address specific data related business problems, whether it’s genAI, machine learning, statistical models, or other methods.

Work in an agile way and adapt to changing business needs.

Build solutions from POC to fully integrated applications, together with other Datashift experts.

Ensure customer constraints such as security and privacy are met as from the start when developing solutions.

Communicate effectively about your technical solution towards different stakeholders at all levels.

Participate as a technical expert in pre‑sales meetings.

Job requirements Qualifications

At least 2 years of experience in industry, including experience in consultancy (preferred)

Background in business engineering, civil engineering, or related field

Proven track record ofsuccessfullydeliveringmultiple data & AI projectsinproduction

Knowledge of one or more AI-technologies, with the ability to understand how these technologies can be adopted in a business context.

Excellent communication skills, and proven success in contributing to a team‑oriented environment

Strong experience with cloud solutions (AWS, Azure, Google)

Experience with one or more monitoring tools is a plus (e.g. MLFlow)

Strong affinity with software engineering best practices (in python), including testing & evaluation of AI solutions.

Fluent in English. Fluency in Dutch or French is considered as a big plus.

Interested?

Are you the (gen)AI Engineer we are looking for? Don't hesitate to apply via the link below!

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