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Privacy Preserving Machine Learning Jobs in Detroit, MI

Randstad Digital

Technical Project Manager

Ann Arbor, MI · On-site

$45 - $50/hr

... Machine Learning,Azure,model performance,communication,Ethical,Soft Skills,leadership,ability to influence,proactively,data quality,data science,data science solutions,infrastructure,data privacy ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ... Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ... Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A ...

Magna

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

Create data/machine learning pipeline in one of the popular cloud platforms. Participate in ... Magna takes the privacy of your personal information seriously. We discourage you from sending ...

Magna

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

The role requires a basic understanding of computer vision and machine learning technologies ... Magna takes the privacy of your personal information seriously. We discourage you from sending ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

... machine learning, generative AI, agent frameworks, and enterprise-grade software engineering ... Implement responsible AI practices, security, privacy, and governance controls across all AI ...

Guardian Alarm

Director, Data Strategy

Southfield, MI · On-site

$180 - $260/hr

... machine learning, and emerging business needs. This role also plays a critical part in Guardian ... Partnerwith IT and business stakeholders to ensure data security and privacy requirements are ...

Guardian-Alarm

Director, Data Strategy

Southfield, MI · On-site

$160 - $240/hr

... machine learning, and emerging business needs. This role also plays a critical part in Guardian ... Partnerwith IT and business stakeholders to ensure data security and privacy requirements are ...

CYNET SYSTEMS

Technical Project Manager

Ann Arbor, MI · On-site

$98 - $135/hr

... end Machine Learning Lifecycle (data prep, training, evaluation, deployment). * Strong ... Ensure AI models are fair, transparent, and comply with data privacy regulations. * Identify and ...

CYNET SYSTEMS

Technical Project Manager

Ann Arbor, MI · On-site

$98 - $135/hr

... end Machine Learning Lifecycle (data prep, training, evaluation, deployment). * Strong ... Ensure AI models are fair, transparent, and comply with data privacy regulations. * Identify and ...

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Showing results 21-40

All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Detroit, MI

Privacy Preserving Machine Learning information

See Detroit, MI salary details

$98.5K

$114.3K

$128.2K

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 Detroit, MI is $114,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $127,700.00 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 Detroit, MI?

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

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

The top searched job categories for Privacy Preserving Machine Learning jobs in Detroit, MI are:

Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Detroit, MI as of June 2026, with employment types broken down into 25% Full Time, 73% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,346 per year, or $55 per hour.

Technical Project Manager

Randstad Digital

Ann Arbor, MI • On-site

$45 - $50/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

job summary:

Technical Project Manager.


Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


location: Ann Arbor, Michigan
job type: Contract
salary: $45 - 50 per hour
work hours: 8am to 5pm
education: No Degree Required
responsibilities:

Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform).


AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform)


Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations.


Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors


Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


qualifications:

Technical Project Manager.


Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


skills:

AWS,AI,cloud environments,Confluence,data pipelines,deployment strategies,Enovia,Git,Google Cloud Platform,JIRA,ML algorithms,Machine Learning,Azure,model performance,communication,Ethical,Soft Skills,leadership,ability to influence,proactively,data quality,data science,data science solutions,infrastructure,data privacy regulations,program management experience,Project Development,risks,Risk Mitigation,Stakeholder Management



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.

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