Oct. 30, 2023, 10 a.m. | Editorial Team

insideBIGDATA insidebigdata.com

The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.

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Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Engineer

@ Cint | Gurgaon, India

Data Science (M/F), setor automóvel - Aveiro

@ Segula Technologies | Aveiro, Portugal