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Jobs in the United States
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Senior Data Engineer
TIAG
Creating effective technological solutions for working with and improving processes and systems with big data, using automation where possible.
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(1119593) HIL Verification & Controls Engineer
Diversified Services Network, Inc.
Build and maintain automated regression tests using Python or similar scripting/programming tools.
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Senior Scientist II / Principal Research Scientist I - Analytical R&D
AbbVie
…intelligence/machine learning (AI/ML), advanced analytics, and data automation within Analytical R&D. The successful candidate will partner closely with analytical scientists to frame…
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Analytics Engineer
Wellthy
Experience writing basic Python scripts (e.g. for data processing, API calls, or automation)
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Mac Systems Administrator
Carnegie Mellon University
…improving our macOS and Apple environment, with a focus on Jamf, automation, and device lifecycle management. You'll help build and maintain a reliable, secure platform that integrates with…
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Senior AI Software Developer & Engineer (US Citizen)
Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling.
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Senior Embedded Software Engineer
Intuitive
Proficiency in Python and bash scripting for test automation, bootup design, and build system integration
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AWS Databricks Engineer
Credence
Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing,…
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Test & Characterization Senior Engineer
SkyWater Technology Foundry, Inc.
Data Analysis: Analyze test data and measurement results using statistical analysis software (e.g., JMP, Minitab, Python) to extract meaningful insights and identify trends. Use this data…
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Infrastructure Solutions Engineering (AI & Automation) - Java, Spring Boot, Python, APIs
Syncreon Consulting
Experience implementing Applied AI, Generative AI, or intelligent automation solutions in enterprise environments.
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Statistician Expert
University of Michigan
Technical: Proficiency in data visualization tools such as SQL,SPSS, SAS, R, Python, and database software; experience with data integration, automation, and process optimization.