Description

You will build and maintain data pipelines for production processing and ML training flows.

Responsibilities

• Ingest, structure, and analyze diverse unstructured data sources.
• Design and orchestrate data pipelines within an AWS environment.
• Evaluate, test, and improve the quality, privacy, and performance of data systems.
• Contribute to API and systems architecture alongside ML processing workflows.

Required Skills

• 3+ years of experience ingesting and structuring varied data sources.
• Production experience building and maintaining data pipelines.
• Strong proficiency in Python, SQL, and Pandas.
• Extensive experience with AWS, containers, and data orchestration.
• Machine Learning Engineering experience using PyTorch and scikit-learn.
• LLM expertise including LangChain, agents, and prompt engineering.
• Full stack development experience, specifically with JS/TS/Node.
• Significant experience handling healthcare data.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate