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Machine Learning Defense Jobs in Utah (NOW HIRING)

UT · On-site

... Business Machines DataBase2 (IBM DB2), MariaDB, MongoDB, PostgreSQL, MySQL) hosted on UNIX ... Our team has been providing expertise and solutions to the US Government (Department of Defense ...

UT · On-site

... Business Machines DataBase2 (IBM DB2), MariaDB, MongoDB, PostgreSQL, MySQL) hosted on UNIX ... Our team has been providing expertise and solutions to the US Government (Department of Defense ...

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Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Utah? For Machine Learning Defense jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Utah look for? The top searched job categories for Machine Learning Defense jobs in Utah are:
What cities in Utah are hiring for Machine Learning Defense jobs? Cities in Utah with the most Machine Learning Defense job openings:
Infographic showing various Machine Learning Defense job openings in Utah as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Multi-vendor Database Administrator

Multi-vendor Database Administrator

PD Inc

UT • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Job Title:  Multi-vendor Database Administrator
Location: UT 84056-5997
Clearance Level: Active Secret Clearance, onsite
Job Type: Full-Time
Must be U.S. Citizen
PD Inc International is seeking an experienced and mission-driven DBA, Oracle, MS SQL, and Opensource Databases - Key Personnel to provide expertise in schema and instance configuration support in a U.S. government (DoD) environment
Education Requirement:
  • Pursuing bachelor's degree or equivalent work experience
Years of Experience:
  • Five + years of relevant/recent experience with database management using Shell Scripting, Java, SQL and XML in UNIX environments.
  • Five + years of relevant/recent experience with cybersecurity and server hardening.
  • Three + years of relevant/recent experience with Microsoft Office products.
Certification Requirements:
  • Current 8570/8140 requirement certification with database focus
Clearance Requirements:
  • Active Secret Clearance, onsite
Requirements:Subtask – DBA.  Evaluate DISA cybersecurity STIGs, tools and processes to identify and implement consolidation, integration, and automation opportunities. This effort will focus on improving the efficiency and effectiveness of J-9 HaC services.
  Analyze and understand customer data requirements and specifications.
  Create and maintain automated solutions for vulnerability lifecycle management of database applications, utilizing Shell Scripting, Java, and UNIX environments.
  Create and maintain automated database reporting solutions using Extensible Markup Language (XML) interfaces.
  Implement and maintain security controls for database environments (Oracle, International Business Machines DataBase2 (IBM DB2), MariaDB, MongoDB, PostgreSQL, MySQL) hosted on UNIX environments, adhering to all applicable DoD security.
  Conduct performance tuning activities designed to optimize data management processes.
  Coordinate with Strategic Partners and/or DISA personnel prior to development, testing or implementation.
  Conduct functional testing of developed solutions; create and maintain supporting documentation; and provide Tier III application support for developed tools.
  Maintain the development environment and ensure compliance with all relevant security guidance.
  Create and maintain documentation for software releases supporting user base; maintain code control using the Government-defined software repository.
  Participate in normal sprint releases meeting stakeholders' timelines, as well as emergency software releases when dictated by operational tempo.
  Provide A&A for Strategic Partners.
  Complete peer code reviews as required.Deliverables:
  • Completed UNIX Database Toolkit
  • Database Toolkit Documentation
  • Documentation of the peer code review process and findings
  • Also includes Deliverables that apply to all tasks listed in section 6, Performance Requirements.
~~~~~~~~~~~~~~~
About PD Inc International (PD Inc): PD Inc is a leading high-tech firm as well as an applied think tank and solutions provider.  Our team has been providing expertise and solutions to the US Government (Department of Defense, Department of State, Department of Homeland Security, Veterans Affairs, etc.) and to commercial clients for over 20-years.  
We perform software development and complex technical implementation daily.  We conduct R&D, prototyping, and develop hardware and software solutions for our clients.  Our qualified personnel--including engineers and technical managers--are capable of performing system integration, technology implementation, and services throughout the federal government and in the private sector.
We have a highly innovative environment, and we foster consistent learning and growth. We encourage our employees to innovate while teaching them discipline and principles. 
PD Inc benefits include highly competitive salary, 401K, health care, paid time off, no-limit Student loan forgiveness (merit based), and we sponsor new/qualified employees for Security Clearance.
Employees can also take advantage of casual dress code, free parking, corporate discounts, and gym memberships.

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PD logo

About PD

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Baltimore, MD, US

Year founded

2001