Address
Form of workJob Description
Sr Data Scientist / Engineer
Dallas, TX (Hybrid)
10+ years
Healthcare exp mandatory
Experience on RAG, LLAMA2/3, AI models, LLMs using tools such as Gradio and streamlit
Skill: SAS, Python, Pyspark, Data bricks, Machine Learning and Strong/ recent Healthcare experience
* Demonstrated understanding of analytical processes and approaches for at least one class of applications.
* 8+ years in data management and analysis using Python / Pyspark
* Strong proficiency with data manipulation in python
* Strong understanding of normalized/dimensional data modeling principles.
* Strong Knowledge in using and developing in SAS.
* Implement & support modern data solutions with Azure Data Factory, Data Lake, Data Bricks, SQL data warehouse, etc.
* Must be proficient in ADFS, building Data Bricks, Data Factories and working with a large amount of data sets.
* 2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to Client & Natural language processing (NLP)
* Broad knowledge of existing data mining, NLP algorithms and technologies (Client & DL), working knowledge of related frameworks and technologies
* Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
* Hands on experience programming languages in Python, Spark, SQL, Data frames and PySpark
* 5+ years of experience working within cloud ecosystem (Azure preferred, AWS, or GCP)
Dallas, TX (Hybrid)
10+ years
Healthcare exp mandatory
Experience on RAG, LLAMA2/3, AI models, LLMs using tools such as Gradio and streamlit
Skill: SAS, Python, Pyspark, Data bricks, Machine Learning and Strong/ recent Healthcare experience
* Demonstrated understanding of analytical processes and approaches for at least one class of applications.
* 8+ years in data management and analysis using Python / Pyspark
* Strong proficiency with data manipulation in python
* Strong understanding of normalized/dimensional data modeling principles.
* Strong Knowledge in using and developing in SAS.
* Implement & support modern data solutions with Azure Data Factory, Data Lake, Data Bricks, SQL data warehouse, etc.
* Must be proficient in ADFS, building Data Bricks, Data Factories and working with a large amount of data sets.
* 2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to Client & Natural language processing (NLP)
* Broad knowledge of existing data mining, NLP algorithms and technologies (Client & DL), working knowledge of related frameworks and technologies
* Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
* Hands on experience programming languages in Python, Spark, SQL, Data frames and PySpark
* 5+ years of experience working within cloud ecosystem (Azure preferred, AWS, or GCP)
