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Machine Learning Defense Jobs in Nebraska (NOW HIRING)

Agile Defense

Data Scientist

Omaha, NE

... Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at ...

Agile Defense

Data Scientist

Omaha, NE · On-site

Agile Defense is a company focused on bringing adaptive innovation to support critical national ... and machine learning, collaborating closely with business leaders and product teams.

Agile Defense

Data Scientist

Omaha, NE · On-site

... machine learning. You'll work closely with business leaders, product teams, and engineering to ... Agile Defense has been highly successful in the past few years due to our employees and the culture ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... machine learning. You'll work closely with business leaders, product teams, and engineering to ... Agile Defense has been highly successful in the past few years due to our employees and the culture ...

Agile Defense

ML Engineer

Omaha, NE · On-site

... support both machine learning workloads and business intelligence requirements • Create ... Agile Defense has been highly successful in the past few years due to our employees and the culture ...

Agile Defense

ML Engineer

Omaha, NE

... that support both machine learning workloads and business intelligence requirements Create ... Agile Defense has been highly successful in the past few years due to our employees and the culture ...

Agile Defense

Data Scientist

Omaha, NE · On-site

Agile Defense is a company that focuses on adaptive innovation to support national missions through ... Machine learning expertise with experience building and validating models using scikit-learn ...

Leidos

Data Analyst

Omaha, NE · On-site

The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub ... The role requires the application of advanced analytical techniques, including machine learning ...

Leidos

Data Analyst

Omaha, NE

The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub ... The role requires the application of advanced analytical techniques, including machine learning ...

Pae

Data Scientist - Expert

Omaha, NE

Design and develop machine learning models, including recommendation engines and predictive systems ... Appropriate DCWF role alignment (e.g., Cyber Defense Analyst, ISSO, Network or Systems Security ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

Design and develop machine learning models, including recommendation engines and predictive systems ... Appropriate DCWF role alignment (e.g., Cyber Defense Analyst, ISSO, Network or Systems Security ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... develop machine learning models, including recommendation engines and predictive systems, to ... Amentum is a technology and engineering company for security, defense, and energy. Founded in 2020 ...

GDIT

Secure AI/ML Delivery

Offutt Air Force Base, NE · Hybrid

$148K - $201K/yr

Artificial Intelligence Algorithms, Data Science, Machine Learning (ML) Certifications: None ... defense agencies. The SCITLS program is a critical component of this mission, ensuring 24/7 ...

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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 Nebraska? For Machine Learning Defense jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Nebraska look for? The top searched job categories for Machine Learning Defense jobs in Nebraska are:
Machine Learning Defense jobs near you
Data Scientist

Data Scientist

Agile Defense

Omaha, NE

Other

Re-posted 22 days ago

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
 
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
 
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
Required Skills
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark
Preferred Skills
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation techniques.
  • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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