AI/Machine Learning Internship 2025

AI/Machine Learning Internship 2025This posting is only accepting resumes currently for potential upcoming opportunities.Enthusiastic about artificial intelligence and machine learning? Join FNE Technology-Moon Tech-iTrust Human Capital Management's AI/ML Internship program and work at the forefront of technology, developing cutting-edge solutions that shape the future!Program OverviewThis intensive 10-week paid internship will immerse you in the exciting world of AI and machine learning. You'll gain practical experience working on real-world projects while honing your skills and learning from industry experts.Duration: Early June - Mid August 2025Location: McLean, Virginia (Hybrid)Application Deadline: April 1, 2025What You'll DoAs an AI/ML Intern, you'll:Collaborate with our engineers on innovative AI and ML projects.Develop and implement machine learning models and algorithms.Work with large datasets and apply data preprocessing techniques.Contribute to the entire ML pipeline, from data collection to model deployment.What We're Looking ForBasic Qualifications:Rising Junior or Senior pursuing a bachelor’s in computer science, Data Science, Applied Mathematics, or related technical field.Strong programming skills in Python or RFamiliarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learnSolid understanding of statistical concepts and machine learning algorithmsU.S. citizenshipPreferred Qualifications:Experience with deep learning and neural networksKnowledge of natural language processing or computer visionFamiliarity with big data technologies (e.g., Hadoop, Spark)Strong analytical and critical thinking skillsWhy Choose our Team?Work on groundbreaking AI/ML projects with real-world applicationsLearn from experienced data scientists and machine learning engineers!Competitive pay and opportunities for professional growth in a rapidly evolving fieldAbout us:iTrust Human Capital Management-FNE Technology-Moon Tech are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protected veteran status.