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Machine Learning Defense Jobs in Florida (NOW HIRING)

Data Science Lead

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Personnel must be proficient in advanced machine learning techniques, statistical modeling, and ... of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity ...

... Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation ... Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ...

Skillbridge Internship -IO

Doral, FL · On-site

$14 - $18.50/hr

Under the framework of the Department of Defense SkillBridge Program, Two Six Technologies hosts ... Data Science, Machine Learning, Programming Eligibility: * Has served at least 180 days on active ...

... Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation ... Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning capabilities. This role also supports business intelligence initiatives by ... Develop secure data architectures that comply with Department of Defense cybersecurity requirements.

Data Engineer with Security Clearance

Tampa, FL · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning capabilities. This role also supports business intelligence initiatives by ... Develop secure data architectures that comply with Department of Defense cybersecurity requirements.

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... machine learning capabilities. This role also supports business intelligence initiatives by ... Develop secure data architectures that comply with Department of Defense cybersecurity requirements.

... defense through innovative and competitive maritime solutions. Position Summary The Machine Shop ... Open Mindset: Identify and solve problems, embrace change, and seek continuous learning.

Data Scientist

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ... of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity ...

Showing results 41-60

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 Florida?

For Machine Learning Defense jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Machine Learning Defense jobs?

Cities in Florida with the most Machine Learning Defense job openings:

Data Science Lead

Prescient Edge

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago


Job description

Job Title
Data Science Lead
Location
Doral, FL 33122 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
Security Clearance Required
TS/SCI
Job Description
Prescient Edge is seeking a Data Science Lead to support a federal government client.
Please note that the availability of this position is contingent upon.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Description:
  • Oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • Establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • Submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • Coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • Fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Job Requirements
Experience:
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML driven insights.
  • Personnel must be proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Personnel must have experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams. Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.

Education:
  • A Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Security clearance:
  • Active TS/SCI clearance.

Location:
  • Doral, Florida. (USSOUTHCOM Headquarters)

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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