Jan. 1, 2024, 10 a.m. |

InfoWorld Machine Learning www.infoworld.com



When cloud computing became enterprise-ready, and tools such as continuous integration and continuous delivery, infrastructure as code, and Kubernetes became mainstream, it marked a clear paradigm shift in dev and ops. The work separating dev and ops became devops responsibilities, and collaborative teams shifted from manual work configuring infrastructure, scaling computing environments, and deploying applications to more advanced automation and orchestrated workflows.

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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

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France