AI/ML Engineering Intern - 28587

Summary: Mission Technologies, a division of HII, is focused on national defense and advanced technologies. The AI/ML Engineering Intern will support the development, testing, and deployment of machine learning models and AI-driven solutions, working under senior engineers and data scientists. 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 Required 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 - Strong problem-solving skills and ability to learn quickly - Excellent communication and teamwork abilities - Clearance: May be required to obtain a secret security clearance Preferred Qualifications: - Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus Required Skills: Machine learning, Supervised learning, Unsupervised learning, Model evaluation, Feature engineering, Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Data structures, Algorithms, Cloud platforms Benefits: 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, Tuition reimbursement, Early childhood and post-secondary education scholarships, Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application