AaronBux Wealth Management · 7 hours ago
Artificial Intelligence Engineer
Washington, United States
Internship
Remote
Intern
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Responsibilities
Collaborate on the development of machine learning models and algorithms to solve real-world business problems.
Implement NLP techniques for text analysis, sentiment detection, and conversational AI solutions.
Build and optimize predictive models for data-driven decision-making.
Collect, clean, and preprocess structured and unstructured datasets for machine learning projects.
Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
Train, test, and validate AI/ML models, ensuring accuracy and robustness.
Fine-tune model parameters to improve performance and scalability.
Work with popular AI/ML tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
Integrate AI/ML models into web and mobile applications using APIs.
Explore the latest trends in AI/ML and identify opportunities to apply them to AaronBux’s products.
Contribute to research papers, prototypes, and presentations.
Qualification
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Required
Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proficiency in programming languages such as Python or R.
Familiarity with AI/ML concepts, algorithms, and frameworks.
Basic understanding of NLP techniques and their applications.
Strong analytical thinking and a passion for solving complex problems.
Excellent verbal and written communication skills to document progress and collaborate effectively.
Preferred
Experience with AI/ML libraries and tools like TensorFlow, PyTorch, or Scikit-learn is a plus.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of data visualization tools like Tableau or Power BI.
Company
AaronBux Wealth Management
AaronBux Wealth Management: a visionary real estate venture poised to redefine the landscape of short-term and long-term rentals in New York City, Washington D.C., and Miami.
Founded in 2018
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
