Tech Stack

Description

Join HOPPR to work on the first multimodal AI foundation model in medical imaging. You will design robust data pipelines, develop evaluation metrics, and implement MLOps practices using LLMs, Python, and SQL to transform unstructured healthcare datasets.

Requirements

• Master's or PhD in CS, Engineering, Data Science or related field
• 1+ years professional data science experience with ML model deployment
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience with SQL, pandas, or NumPy
• US citizenship or permanent residency required

Responsibilities

• Design robust pipelines using LLMs to extract features from unstructured data
• Create rigorous evaluation metrics for feature extraction processes
• Enhance scalable, reproducible data science infrastructure
• Implement MLOps practices to streamline machine learning workflows
• Manipulate large-scale datasets with Python and SQL