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Privacy Preserving Machine Learning Jobs in Dallas, TX

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI ... Security, Privacy & Responsible AI * Problem Solving & Analytical Skills * Agile/Scrum Preferred ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

... Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ... Model Deployment & Productionization Security, Privacy & Responsible AI Problem Solving ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI ... Security, Privacy & Responsible AI * Problem Solving & Analytical Skills * Agile/Scrum Preferred ...

Doist

AI Lead Engineer

Dallas, TX · On-site

$150 - $210/hr

Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI ... Security, Privacy & Responsible AI * Problem Solving & Analytical Skills * Agile/Scrum Preferred ...

New

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Understanding of AWS security controls related to data security, AI privacy, and regulatory ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market ... Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Dallas, TX

$115K/yr

Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market ... Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Understanding of AWS security controls related to data security, AI privacy, and regulatory ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ... privacy advancements. Thanks to the work of every employee, Epsilon has been consistently ...

CBRE

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

... privacy, security, and responsible AI standards. * Mentor junior AI/ML engineers, providing ... Conduct research and stay current with advancements in AI, machine learning, deep learning, and ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Dallas, TX

Privacy Preserving Machine Learning information

See Dallas, TX salary details

$98.4K

$114.3K

$128.1K

How much do privacy preserving machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for privacy preserving machine learning in Dallas, TX is $114,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $127,600.00 per year, depending on experience, location, and employer.

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?

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 Dallas, TX? For Privacy Preserving Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Dallas, TX look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Privacy Preserving Machine Learning jobs? Cities near Dallas, TX with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

AI Lead Engineer

Delan Associates, Inc.

Dallas, TX • On-site, Remote

$101K - $133K/yr

Contractor

Posted 7 days ago

Job description

AI Lead Engineer
Dallas, TX (REMOTE)
15+ Years
Must-Have Skills
* Artificial Intelligence (AI) & Machine Learning (ML)
* Deep Learning
* Generative AI (GenAI)
* Large Language Models (LLMs)
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Embeddings & Vector Databases
* Fine-tuning LLMs
* Python
* TensorFlow
* PyTorch
* Scikit-learn
* Data Preprocessing & Feature Engineering
* Model Training, Validation & Evaluation
* Statistics & ML Algorithms
* MLOps
* CI/CD Pipelines
* Docker
* Kubernetes
* REST APIs & Microservices
* Cloud Platforms (Azure / AWS / GCP)
* AI Model Deployment & Productionization
* Security, Privacy & Responsible AI
* Problem Solving & Analytical Skills
* Agile/Scrum
Preferred (Good to Have):
* Retail domain experience
* Enterprise Transformation projects
* Model Governance
* Stakeholder Management
* Excellent Communication Skills

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