AI/ML Engineering Intern - 28587
$51.71k - $70kMission Technologies, a division of HII
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 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 required 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. Benefits We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; 401(k); financial planning tools; life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions and will be addressed by the recruiter during the screening phase of application. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, veteran status or any other basis protected by federal, state, or local law. Reasonable Accommodation / Contact If you need a reasonable accommodation for any part of the employment process, please send an e-mail to View email address on click.appcast.io and let us know the nature of your request and your contact information. Additionally, you may also call View phone number on click.appcast.io for assistance. Press #3 for HII Mission Technologies. #J-18808-Ljbffr Mission Technologies, a division of HII
$51.71k - $70k
...: Annapolis Junction, MD, United States Requisition Number: 28587 Required Travel: 0 - 10% Employment Type: Full Time/Salaried... ...group within HII’s Mission Technologies division. The AI/ML Engineering Intern will support the development, testing, and deployment of machine...InternshipFull timeWork at officeLocal area- Mission Technologies, a division of HII, is seeking an AI/ML Engineering Intern to support the development and deployment of machine learning models and solutions. This role offers a hands-on opportunity to work with experienced engineers on real-world projects. Ideal...Internship
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