Responsibilities: -
Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models.
Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms including leveraging large language models (LLMs) and tools like LangGraph for complex AI agentic workflows in healthcare contexts.
Develop NLP modules within the NLP development team using programming or scripting languages such as Python.
Conduct pre-processing and quality analysis for textual data inputs and validate performance of NLP outputs.
Create systematic testing procedures error-checking mechanisms and user manuals for NLP modules.
Build infrastructure for optimal extraction transformation and loading of data from diverse sources including MCP servers using SQL and AWS big data frameworks such as EMR and Spark/pySpark.
Collaborate with Engineering teams to ensure scalable and efficient data workflows using SQL and AWS big data technologies.
Apply working knowledge of AWS services particularly AWS Bedrock to develop generative AI applications.
Utilize relational databases such as PostgreSQL or MySQL for data storage and retrieval in NLP and AI workflows..
Responsibilities: - Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models. Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms including leveraging large language models (LLM...
Responsibilities: -
Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models.
Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms including leveraging large language models (LLMs) and tools like LangGraph for complex AI agentic workflows in healthcare contexts.
Develop NLP modules within the NLP development team using programming or scripting languages such as Python.
Conduct pre-processing and quality analysis for textual data inputs and validate performance of NLP outputs.
Create systematic testing procedures error-checking mechanisms and user manuals for NLP modules.
Build infrastructure for optimal extraction transformation and loading of data from diverse sources including MCP servers using SQL and AWS big data frameworks such as EMR and Spark/pySpark.
Collaborate with Engineering teams to ensure scalable and efficient data workflows using SQL and AWS big data technologies.
Apply working knowledge of AWS services particularly AWS Bedrock to develop generative AI applications.
Utilize relational databases such as PostgreSQL or MySQL for data storage and retrieval in NLP and AI workflows..
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