ZipRecruiter

Log In

1

Privacy Preserving Machine Learning Jobs in Texas

webAI Inc

Senior Forward Deployed AI Engineer

Austin, TX · On-site

$103K - $142K/yr

This role sits at the intersection of machine learning, systems engineering, and deployment ... Knowledge of privacy-preserving AI and secure compute environments. * Master's degree in a relevant ...

next page

Showing results 1-20

All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Texas

Privacy Preserving Machine Learning information

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 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, 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 popular job titles related to Privacy Preserving Machine Learning jobs in Texas? For Privacy Preserving Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Texas look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Texas are:
What cities in Texas are hiring for Privacy Preserving Machine Learning jobs? Cities in Texas with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you
Artificial Intelligence/Machine Learning

Artificial Intelligence/Machine Learning

Estaff LLC

Austin, TX

Other

Posted 22 days ago

Job description

 We are looking for an Artificial Intelligence/Machine Learning (AI) Risk Officer who is a local candidate in Austin, TX, for a 100% On-site position

Will only accept LOCAL candidates for this position; anyone else will be rejected.

Will be responsible for governance, oversight, and risk mitigation for the design, deployment, procurement, and use of artificial intelligence (AI), machine learning, and advanced analytics. This individual ensures that AI-enabled systems used in regulatory, scientific, enforcement, and administrative functions operate in a manner that is lawful, ethical, secure, transparent, and aligned with public-sector values, environmental justice principles, and statutory mission. This individual serves as an expert on AI risk and governance, advises agency leadership, and collaborates closely with legal, cybersecurity, data, procurement, and program leadership to enable responsible innovation while safeguarding public trust.

Minimum Requirements:

Years

Required/Preferred

Experience

5

Required

Designing, implementing, and maintaining a comprehensive enterprise AI risk management and governance framework. Establishing policies, standards, and approval processes governing AI and advanced analytics use cases.

5

Required

Leading or co-chairing an internal AI Governance Council, which reviewed, prioritized, and approved AI initiatives. Ensuring consistent lifecycle oversight for AI systems from concept and procurement through deployment and retirement.

5

Required

Identifying, assessing, monitoring, and mitigating AI-related risks including algorithmic bias, model drift, explainability, data quality issues, cybersecurity vulnerabilities, operational risk, legal exposure and reputational risk.

5

Required

Oversight of AI risk assessments, model impact assessments, and control testing activities. Establishing escalation, incident response, and remediation protocols for AI-related issues.

5

Required

Partnering with Legal, Privacy, Records Management, and Compliance teams to ensure AI systems comply with Texas state laws, federal regulations, public records requirements, privacy protections, and civil rights obligations.

5

Required

Monitoring emerging AI-related laws, regulations, and standards and assessing their impact on agency operations. Serve as a senior advisor to executive leadership on AI governance, risk, and regulatory readiness.

5

Required

Championing ethical AI principles, including fairness, accountability, transparency, human oversight, and explainability.

5

Required

Ensuring AI use does not result in unfair or opaque regulatory outcomes, particularly in permitting, inspections, and enforcement.

5

Required

Supporting mechanisms for public transparency and defensibility where AI contributes to regulatory decisions.

5

Required

Collaborating closely with the Information Resources Manager, Deputy Director of Information Resources, Chief Data Officer, Chief Information Security Officer, and program area Directors.

5

Required

Influencing enterprise technology and data strategy by embedding AI risk considerations into planning and investment decisions.

5

Required

Acting as a trusted executive partner, balancing innovation enablement with responsible risk management.

5

Preferred

Developing and delivering executive and workforce training on responsible AI use and risk awareness.

5

Preferred

Promoting a culture of ethical, risk-aware innovation across scientific, regulatory, and administrative teams.

5

Preferred

Providing guidance to program teams on acceptable and prohibited uses of AI technologies.

Estaff logo

About Estaff

Sourced by ZipRecruiter

We have been the most trusted Technical Recruiting Partner for companies in Austin, Central Texas and nationwide for over 10 years. Are you looking to hire? The process of Placing Ads and reviewing hundreds of resumes is tedious, time consuming and may be impossible to get done with your already busy schedule. Well, worry no more! The experts at Estaff LLC offer over 50 years of recruiting experience to give you the fastest access to the most qualified resumes meeting your requirements. Our helpful, knowledgeable team can help you understand what you are looking for and have you fully staffed in no time. Find out how important experience and quality service are when hiring a technical recruiter for your Direct, Contract or Contract-to-Hire positions. Give us a call today and be on your way to finding the perfect fit for your company or click the button below and tell us what you are looking for and how we can contact you. We will do an analysis and call you to discuss your requirements in detail.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

Year founded

2008

Social media

FacebookTwitter

View All Estaff Jobs

Apply