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MOU status: DoD MOU current through February 10, 2027.

What these labels mean

MOU active: An MOU is the agreement between an employer and the SkillBridge program. When it expires, the employer has to renew it before it can take new service members.
MOU expires soon: The agreement ends within 90 days. That is not a reason to rule a program out. It is a reason to ask the employer where the renewal stands.
MOU expired: The date on the government listing has passed. We still show the program, because hiding it would shrink this directory in a way we could not explain. Confirm status with the employer before you apply.
MOU date not stated: The government listing carries no expiration date for this organization.
Detailed listing: The employer filled in most of its record: length, delivery method, eligibility, and a description of the work.
Partial listing: Some of those fields are filled in and some are blank.
Sparse listing: Very little of the record is filled in. That is common, and it is not a judgment about the program or the employer. It does mean you will have to ask them more questions directly.

Dates come from the government SkillBridge export. We do not screen, rank, or endorse organizations, and we take nothing from them.

HiredTroops is not affiliated with, endorsed by, or sponsored by the U.S. Department of Defense, the Department of War, or any branch of the U.S. Armed Forces. SkillBridge is a U.S. government program. Program data on this site comes from the public SkillBridge directory and from employers, and is provided for informational purposes. Confirm all details with the employer and your command.

At a glance

Programs: 3
Locations: 3
States served: 0

Delivery: Online (3)
Program length: 12 to 20 weeks (3)
Program type: Internship (3)
Branches accepted: Air Force, Army, Coast Guard, Marine Corps, Navy, Space Force

Counts are computed from the DoD program listings below -- a provider with several programs can appear more than once in each count.

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Programs

AI-ML Engineer - Internship

Detailed listing

Delivery: Online
Length: About 13 to 17 weeks source value: 91 - 120 days
Type: Internship
Branches: Air Force, Army, Coast Guard, Marine Corps, Navy, Space Force
Career field: Computer and Mathematical
Defense Industrial Base: Yes

Summary

The AI/ML Engineer Career Readiness Program provides participants with hands-on exposure to designing, developing, and deploying machine learning and artificial intelligence solutions to address real-world problems. Participants gain experience working with large datasets, building and evaluating predictive models, and understanding how algorithms are optimized and deployed in practical applications. Beyond technical skill development, the program includes comprehensive career readiness training to help participants confidently pursue AI and machine learning roles. This training includes resume development, interview preparation, LinkedIn profile optimization, and professional communication skills.

Eligibility

Required Qualifications:-Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.-Strong understanding of machine learning algorithms and principles.-Experience with programming languages such as Python, R, or similar.-Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).-Ability to work with large datasets and knowledge of data preprocessing techniques.-Solid understanding of statistics and mathematics as it relates to machine learning.-Strong analytical and problem-solving skills.-Good communication skills and the ability to work in a collaborative environment.-Experience with cloud platforms (AWS, GCP, Azure) and version control systems (e.g., Git) is a plus.

What the work involves

Required Skills:-Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.-Strong understanding of machine learning algorithms and deep learning architectures.-Experience with data preprocessing, feature engineering, and model evaluation.-Knowledge of cloud platforms and MLOps.-Problem-solving and analytical skills. Job Type: Full-Time Working Settings: Hybrid What We Offer:-Hands-on experience in building and deploying machine learning models.-Mentorship from experienced AI/ML professionals.-Exposure to real-world AI projects and challenges.-A dynamic and collaborative work environment. Qualifications:-Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.-Strong understanding of machine learning algorithms and principles.-Experience with programming languages such as Python, R, or similar.-Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).-Ability to work with large datasets and knowledge of data preprocessing techniques.-Solid understanding of statistics and mathematics as it relates to machine learning.-Strong analytical and problem-solving skills.-Good communication skills and the ability to work in a collaborative environment.-Experience with cloud platforms (AWS, GCP, Azure) and version control systems (e.g., Git) is a plus.

Locations

Virtual

Consultative Sales & Business Automation - Internship

Detailed listing

Delivery: Online
Length: About 17 to 21 weeks source value: 121 - 150 days
Type: Internship
Branches: Air Force, Army, Coast Guard, Marine Corps, Navy, Space Force
Target MOCs: Open to All MOCs

Summary

moving beyond transactional selling to build relationship-based business solutions. Working alongside senior leadership in a supervised environment

Eligibility

To participate in this program, candidates must have command approval and demonstrate a strong interest in business operations, consulting, or technology sales. Additionally, candidates must have access to a reliable internet connection and a personal computer, along with functional proficiency in Microsoft Office or Google Workspace suites.

What the work involves

As a Solutions Expert Fellow, you will train to master a diagnosis-first" sales methodology

Locations

Virtual

Security Operations Center Analyst - Internship

Detailed listing

Delivery: Online
Length: About 13 to 17 weeks source value: 91 - 120 days
Type: Internship
Branches: Air Force, Army, Coast Guard, Marine Corps, Navy, Space Force
Career field: Computer and Mathematical
Defense Industrial Base: Yes

Summary

Our Security Operations Center (SOC) Analyst Career Readiness Program helps participants build real-world cybersecurity knowledge while preparing them for the job market. Participants gain hands-on exposure to security monitoring, threat detection, and incident analysis within a guided SOC environment.A SOC Analyst is responsible for monitoring the company's systems. They also monitor network activity and ensure that no suspicious activities are happening. The SOC Analyst also works with other departments of the company, such as human resources or sales, to ensure that their systems are secure. An SOC Analyst is responsible for monitoring, detecting, analyzing, and responding to cybersecurity threats and incidents in real time. They work within a SOC team to ensure an organization's IT infrastructure remains secure by proactively identifying and mitigating security risks. Beyond technical skills, we provide career readiness training to help participants confidently pursue cybersecurity roles. This includes resume reviews, interview coaching, LinkedIn profile optimization, and guidance on navigating the cybersecurity hiring process.

Eligibility

Required Qualifications:-Pursuing a degree in Cybersecurity, Information Security, Computer Science, or a related field.-Strong interest in cybersecurity and a desire to learn more about Security Operations.-Basic knowledge of network protocols, firewalls, and security tools.-Familiarity with security concepts like incident response, threat analysis, and vulnerability management is a plus.-Excellent problem-solving skills and attention to detail.-Strong communication skills, both written and verbal.-Ability to work in a fast-paced environment and manage multiple tasks simultaneously.-Familiarity with common operating systems (Linux, Windows) and security software is a plus.

What the work involves

Required Skills:-Strong understanding of cybersecurity principles, threats, and attack techniques.-Experience with SIEM tools, Knowledge of network security, firewalls, intrusion detection/prevention systems.-Familiarity with security frameworks.-Strong analytical and problem-solving skills.-Ability to work in a fast-paced, 24/7 SOC environment. Job Type: Full-Time Working Settings: Hybrid Qualifications:-Pursuing a degree in Cybersecurity, Information Security, Computer Science, or a related field.-Strong interest in cybersecurity and a desire to learn more about Security Operations.-Basic knowledge of network protocols, firewalls, and security tools.-Familiarity with security concepts like incident response, threat analysis, and vulnerability management is a plus.-Excellent problem-solving skills and attention to detail.-Strong communication skills, both written and verbal.-Ability to work in a fast-paced environment and manage multiple tasks simultaneously.-Familiarity with common operating systems (Linux, Windows) and security software is a plus. What We Offer:-Hands-on experience working with cutting-edge security technologies.-Mentorship from experienced cybersecurity professionals.-A collaborative and supportive work environment.-The opportunity to grow your skills and kick-start your career in cybersecurity.

Locations

Virtual

Where this provider operates

Remote

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Where this comes from

Source is the Department of Defense SkillBridge directory, filtered to iZen ai, Inc.. HiredTroops republishes it and adds the plain-language notes. We do not screen, rank, or endorse organizations, and we take nothing from them.

Last checked August 23, 2026, which is older than our normal weekly refresh.

Confirm current program status with the organization and with your command before you commit. This directory is not affiliated with or endorsed by the Department of Defense.