What are the responsibilities and job description for the AI Engineering Intern (Large Language Models) position at Snaphunt?
The Offer Certification Upon Completion Letter of recommendation Flexible work hours (5 days a week) The Job We're a team of serial entrepreneurs in New York City, backed by prominent family offices, working to push the boundaries of large language model (LLM) development. As part of scaling our AI team, we are seeking talented and driven AI Engineering Interns to join us in advancing innovative LLM projects for real-world applications. What You'll Do As an AI Engineering Intern, you’ll work closely with our senior engineering team on cutting-edge LLM initiatives. Your daily responsibilities will include : LLM Development & Training : Assist in developing, training, and refining large language models for diverse applications. Fine-Tuning Models : Customize pre-trained LLMs to align with specific project requirements, optimizing for performance and efficiency. Collaboration on Optimization : Partner with team members to boost model efficacy through architecture experimentation and performance enhancements. Data Preparation : Engage in data preprocessing, augmentation, and annotation for effective model training. Performance Monitoring & Documentation : Track, evaluate, and document model performance using a variety of metrics and tools. Research & Innovation : Stay on top of the latest NLP and deep learning trends, implementing breakthroughs that could add value to our projects. Deployment Assistance : Aid in deploying and integrating LLMs into practical applications where needed. The Profile Skills & Experience To thrive in this role, you should have a strong foundation in machine learning and NLP, along with hands-on experience in deep learning. Here’s what we’re looking for : Technical Proficiency : Strong programming skills in Python and familiarity with neural network frameworks like PyTorch or TensorFlow. Knowledge of NLP Frameworks : Experience with Hugging Face’s Transformers library or similar tools for LLMs. Data Handling Expertise : Familiarity with data preprocessing techniques and comfort working with large datasets. Model Optimization & Fine-Tuning : Understanding of concepts like model optimization, transfer learning, and fine-tuning. Independent & Remote Working : Proven ability to work independently and manage time effectively in a remote setup. Bonus Points for : Prior experience with model deployment Enthusiasm for keeping up with cutting-edge developments in NLP and AI Requirements Available for the work-from-home internship from 9 : 00 am to 5 : 00 pm IST Ready to begin between October 31, 2024, and November 29, 2024 Commitment of 6 months Relevant skills and interests aligned with machine learning, NLP, and AI The Employer Real Hires connects talented professionals from around the globe with American companies, fostering long-term relationships where employees work directly with clients to support and grow those connections. Our client focus is on building meaningful partnerships that last, ensuring a strong, collaborative environment for everyone involved.
