Data Scientist - LLM Optimization (Remote)
Description We are seeking a self-disciplined and experienced Data Scientist who can bridge the gap between data science and ML engineering, with a focus on using data-driven approaches to optimize LLM performance Responsibilities • Design and implement data structures to improve LLM efficiency and performance • Analyze large datasets to extract insights for model optimization • Develop and maintain data pipelines for LLM training and evaluation • Collaborate with ML engineers to implement data-driven improvements in model architectures • Conduct experiments to validate hypotheses and quantify improvements • Participate in team meetings and provide data-driven insights to guide decision-making Requirements • 5+ years of relevant experience in Data Science or ML-related roles • Strong background in statistics, mathematics, and computer science • Expertise in data structures and algorithms, particularly as applied to ML and LLMs • Proficiency in Python • Experience with data analysis libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn) • Familiarity with deep learning frameworks (TensorFlow, PyTorch) and LLM technologies (Hugging Face, AWS Bedrock) • Experience with version control systems (Git) • Strong analytical and problem-solving skills • Ability to work independently and collaboratively in a remote environment • Excellent time management skills to meet project deadlines • Authorized to work in the USA Preferred Qualifications • Advanced degree in Data Science, Computer Science, or related field • Experience with vector databases and embedding techniques • Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) • Familiarity with MLOps practices and tools Benefits • Flexible schedule • Competitive salary • Stock options