Join our team as an AI Intern to work on cutting-edge machine learning models and LLMs, helping build intelligent features that enhance our trading platform.
Requirements
Strong proficiency in Python
Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn
Understanding of fundamental machine learning concepts, including supervised learning, unsupervised learning, and deep learning
Familiarity with data manipulation and analysis using libraries like Pandas and NumPy
Ability to preprocess and clean data for model training
Knowledge of version control systems, such as Git
Strong problem-solving skills and the ability to implement algorithms
Excellent communication and collaboration skills
Experience with Large Language Models (LLMs) such as GPT, BERT, or similar
Knowledge of integrating LLMs into applications
Good to have experience with cloud computing platforms (e.g., AWS, Google Cloud)
Good to have Experience with Natural Language Processing (NLP) or Computer Vision
Responsibilities
Assist in the development and implementation of machine learning models, including those involving LLMs
Work with large datasets to perform data cleaning, preprocessing, and feature engineering, including text data for LLMs
Train, evaluate, and fine-tune machine learning models, including LLMs
Collaborate with the team to identify and solve challenging problems using AI techniques, with a focus on LLMs
Contribute to the development of AI-powered features for our platform, including those leveraging LLMs for automation and enhanced user experience
Integrate LLMs into our platform to automate tasks, improve user interaction, and provide intelligent insights
Document code, experiments, and results, including LLM-specific workflows
Stay up-to-date with the latest advancements in AI and machine learning, particularly in the field of LLMs
Participate in team meetings and present findings, including updates on LLM projects
Qualifications
Currently pursuing or recently graduated with a Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, or a related field
Individuals with a strong academic background in mathematics, statistics, and computer science
Those with a passion for AI and machine learning, eager to work in an early-stage startup
Individuals with a portfolio or projects demonstrating AI/ML skills, including LLM experience, are preferred