4402 Software Development Intern with Security Clearance
Why This Role Stands Out
This hybrid internship offers invaluable hands-on experience in AI/ML development with a reputable company, perfect for driven students eager to build cutting-edge intelligent systems. You'll thrive here if you possess a strong foundation in programming and a keen interest in machine learning, with the opportunity to gain practical skills and contribute to impactful projects. Apply now to launch your career in this exciting field!
Quick Overview
Job Description
OVERVIEW: We are seeking a motivated Software Development Intern with a strong interest in Artificial Intelligence and Machine Learning to join our team. This internship offers hands-on experience working on real-world AI/ML projects, collaborating with experienced engineers and data scientists to design, build, and deploy deep intelligent systems.
GENERAL DUTIES
- Assist in the design, development, and implementation of AI/ML models and applications
- Write clean, efficient, and maintainable code in languages such as Python, Java, or C++
- Work with large datasets to preprocess, analyze, and extract meaningful insights
- Support the training, testing, and evaluation of machine learning models
- Collaborate with cross-functional teams to integrate ML solutions into production systems
- Participate in code review, debugging, and performance optimization
- Document processes, methodologies, and technical findings REQUIRED QUALIFICATIONS:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field
- Basic understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation)
- Proficiency in at least one programming language (preferably Python)
- Familiarity with common ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team DESIRED QUALIFICATIONS:
- Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib)
- Knowledge of deep learning, natural language processing, or computer vision
- Exposure to cloud platforms (e.g., AWS, Azure, or GCP)
- Familiarity with version control systems (e.g., Git)
- Previous project or coursework in AI/ML CLEARANCE:
- U.S. Citizenship required
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