Tech Tammina
Data Engineer - pytorch, scikit-learn
Tech Tammina, New York, New York, us, 10261
Job Title: Data Engineer -
pytorch, scikit-learn
Job Location: New York, NY (Hybrid)
Job Type: Full TimeExpected 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 datasourcesDesigning, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flowsContinuously evaluate, analyze, test and improve the quality, privacy and performance of our data systemsContribute across the product, where - from front-end UX and product design, API/systems architecture and ML processing/trainingMinimum Qualifications:
3+ years of experience ingesting, analyzing and structuring a wide variety of datasourcesSignificant experience building and maintaining data pipelines in a production environmentStrong database/SQL, python, pandas (or equivalent) experiencePrior 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 experienceLLM experience (langchain, agents, extensive prompt engineering)MLE Experience - pytorch, scikit-learn, etc..Extensive production AWS, container and/or data orchestration experienceFull stack development experience (JS/TS/Node in particular)
pytorch, scikit-learn
Job Location: New York, NY (Hybrid)
Job Type: Full TimeExpected 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 datasourcesDesigning, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flowsContinuously evaluate, analyze, test and improve the quality, privacy and performance of our data systemsContribute across the product, where - from front-end UX and product design, API/systems architecture and ML processing/trainingMinimum Qualifications:
3+ years of experience ingesting, analyzing and structuring a wide variety of datasourcesSignificant experience building and maintaining data pipelines in a production environmentStrong database/SQL, python, pandas (or equivalent) experiencePrior 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 experienceLLM experience (langchain, agents, extensive prompt engineering)MLE Experience - pytorch, scikit-learn, etc..Extensive production AWS, container and/or data orchestration experienceFull stack development experience (JS/TS/Node in particular)