Job Title: Data Engineer
Job Location: New York, NY (Hybrid)
Job Type: Full Time
Expected Start Date: ASAP
Job Description:
Must be strong with Python for ML pipelines specifically with Py torch and scikit-learn
AWS is required, building pipelines within
Should have a background in LLM (langchain, agents, extensive prompt engineering)
The "strong additional requirements" below are required.
Responsibilities:
Ingesting, structuring and analyzing a wide range of unstructured datasources
Designing, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flows
Continuously evaluate, analyze, test and improve the quality, privacy and performance of our data systems
Contribute across the product, where - from front-end UX and product design, API/systems architecture and ML processing/training
Minimum Qualifications:
Prior experience working in fast paced environments and tackling problems across the stack with quick iterations while maintaining a high quality bar.
Strong Additional Qualifications:
Significant healthcare data experience
LLM experience (langchain, agents, extensive prompt engineering)
MLE Experience - pytorch, scikit-learn, etc..
Extensive production AWS, container and/or data orchestration experience
Full stack development experience (JS/TS/Node in particular)
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