Description

You will build deep learning pipelines to mitigate gaps in claims data using advanced modeling approaches.

This role is on-site.

Responsibilities

• Develop deep learning pipelines to address gaps in claims data.
• Explore temporal sequence and image data using advanced modeling techniques.
• Implement architectures such as BERT and temporal graphs.
• Apply transformer models and sequence modeling to solve complex data problems.
• Process and analyze image data as part of the modeling workflow.

Required Skills

• 4 to 6 years of professional experience in data science.
• Proficiency in Python.
• Deep learning expertise.
• Experience with temporal and sequence modeling.
• Image processing skills.
• Practical application of BERT or similar transformer architectures.
• Experience working with temporal graphs.
• Any graduate degree.

Key Skills

Education

Any Graduate