Description

You will design and implement machine learning solutions focused on generative AI.

Responsibilities

• Design and build workflows using LLMs and Gen AI techniques to create synthetic data for model training and testing.
• Implement and deploy ML models, specifically focusing on generative AI like diffusion models and LLMs.
• Fine-tune, evaluate, and optimize large language models for specific downstream tasks.
• Develop and maintain scalable data pipelines supporting training, evaluation, and inference.
• Conduct exploratory data analysis to identify opportunities for model or data improvement.

Required Skills

• Bachelor's degree in Computer Science or a related field from an accredited U.S. institution.
• 2+ years of experience in Machine Learning or Software Engineering.
• Expert-level proficiency in Python.
• Familiarity with deep learning frameworks such as PyTorch.
• Strong foundation in ML algorithms, data preprocessing, and evaluation techniques.
• Demonstrated experience with diffusion models, stable diffusion, or LLMs.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and documentation skills.
• Ability to work independently in an iterative development environment.

Key Skills

Education

Bachelor's degree