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Machine Learning Defense Jobs in Georgia (NOW HIRING)

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne ... Defense, with team members located nationwide. Disclaimer: Benefits packages offered by RealmOne ...

Ag

HR AI/ML Engineer II

Atlanta, GA · On-site

... defense industries in the U.S. and around the world. The D.C. area is also home to our regional ... Design, develop, and deploy AI agents and machine learning models to solve complex HR challenges ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Overview Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Overview Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This ...

Apex Systems

Communications Engineer

Atlanta, GA

$92K - $160K/yr

... of Defense applications. Key Responsibilities * Perform communication simulation development ... Expertise in signal processing, modeling & simulation, machine learning, or electronic warfare ...

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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.
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What job categories do people searching Machine Learning Defense jobs in Georgia look for? The top searched job categories for Machine Learning Defense jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Defense jobs? Cities in Georgia with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you
Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Transaction Fraud Analytics (Senior Fraud Risk Analyst)

ATLANTICUS

Atlanta, GA • Hybrid

Other

Posted 29 days ago

Job description

Job Description 

  • Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst)  
  • Location: Atlanta, GA (Hybrid)
  • Department: Risk Management/Fraud Prevention 

Responsibilities: 

  • Develop and implement fraud detection models using advanced analytics and machine learning techniques. 
  • Monitor real-time transaction data to identify and flag potentially fraudulent activities. 
  • Conduct root cause analysis of fraud incidents and recommend preventive measures. 
  • Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes. 
  • Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments. 
  • Ensure compliance with regulatory requirements and industry standards related to fraud prevention. 
  • Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities. 

Qualifications: 

  • Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field. 
  • 5+ years of experience in fraud analytics, data analysis withat least 3 being in transaction fraud, preferable credit cards. 
  • Should have experience in working on Fiserv related systems. 
  • Proficiency in data analytics tools such as SQL, Python, R, or SAS. 
  • Experience with transaction monitoring systems and fraud detection platforms. 
  • Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes. 
  • Excellent problem-solving, analytical, and communication skills. 
  •  Needs experience with Advance Defense Edge

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