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 and SQL
• 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