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6

Lead Machine Learning Engineer Jobs in Louisville






Job info
 
Company
**********
Location
Louisville, KY
Posted Date
Nov 28, 2020
Info Source
Employer  - Full-Time  90  

... is seeking a Business Intelligence Lead. The Clinical Trend and Analytics ... advanced scientific techniques, forecasting, and machine learning to predict financial and clinical ... science. Responsibilities The Business..

 
Company
**********
Location
Louisville, KY
Posted Date
Sep 15, 2023
Info Source
Employer  - Full-Time  90  

Description The Director, Software Engineering codes software applications based on business requirements. The Director, Software Engineering requires an in-depth understanding of how organization capabilities interrelate across the function or segment. Responsibilities ..

 
Company
**********
Location
Louisville, KY
Posted Date
Sep 20, 2021
Info Source
Employer  - Full-Time  90  

Description The Associate Director, Software Engineering codes software applications based on business requirements. The Associate Director, Software Engineering requires a solid understanding of how organization capabilities interrelate across department(s). Responsibilities The ..

 
Company
Location
Louisville, KY
Posted Date
Sep 06, 2021
Info Source
Employer  - Full-Time  90  

... the balanced team model. The Lead Data Engineer will work alongside data scientists, ... experiences for Humana members. The Lead AI/Machine Learning Engineer will contribute to the development .....

 
Company
**********
Location
Louisville, KY
Posted Date
Apr 03, 2021
Info Source
Employer  - Full-Time  90  

Description The Senior ETL Engineer leads important projects in design, ... of databases. The Senior ETL Engineer work assignments involve moderately complex ... well-being Responsibilities The Senior ETL Engineer is..

 
Company
**********
Location
Louisville, KY
Posted Date
Apr 01, 2021
Info Source
Employer  - Full-Time  90  

Job Information Humana Lead AI Implementer in Louisville Kentucky ... high value use cases for machine learning and do what it takes ... technologies, platforms, data, analytics, and machine learning..

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