AI/ML Engineering Intern - 28587

AI/ML Engineering Intern

• 28587 AI/ML Engineering Intern
• 28587

Requisition Number:

28587

Required Travel:

0

• 10%

Employment Type:

Full Time/Salaried/Exempt

Anticipated Salary Range:

$51,706.00

• $70,000.

00

Security Clearance:

Ability to Obtain

Level of Experience:

Senior This opportunity resides with Warfare Systems (WS) , a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense

• the data evolution
• by accelerating a breadth of national security solutions for government and commercial customers.

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. today. We look forward to meeting you. To learn more about Mission Technologies, click for a short video: vimeo/732533072 Job Description The AI/ML Engineering Intern will support the development, testing, and deployment of machine learning models and AI-driven solutions. Working under the guidance of senior engineers and data scientists, this role contributes to real-world projects involving data processing, model experimentation, and software integration. The ideal candidate is curious, analytical, and eager to learn modern AI and machine learning techniques in a practical, collaborative environment. Essential Job Responsibilities

• Assist in designing, training, and evaluating machine learning models for various business use cases
• Support data collection, preprocessing, cleaning, and feature engineering tasks
• Help build scalable ML pipelines and contribute to model deployment efforts
• Conduct research on new algorithms, frameworks, and tools to improve model performance
• Collaborate with engineering teams to integrate models into applications or systems
• Participate in code reviews, documentation, and agile development processes
• Analyze results, prepare reports, and present findings to project stakeholders
• Troubleshoot issues and help optimize existing models or workflows Minimum Qualifications
• Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Foundational knowledge of machine learning concepts such as supervised and unsupervised learning, model evaluation, and feature engineering
• Experience with Python and ML libraries such as NumPy, pandas, scikit-learn, TensorFlow or PyTorch
• Understanding of data structures, algorithms, and basic software engineering practices
• Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus
• Strong problem-solving skills and ability to learn quickly
• Excellent communication and teamwork abilities

Clearance:

May be requried to obtain a secret security clearance Physical Requirements

• May require working in an office, industrial, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job
• it's an opportunity to build a new future.

We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off;...Visit the Employer site for more details