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The 10 most in-demand IT jobs in finance

CIO

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

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The 10 most in-demand IT jobs in finance

CIO

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

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Equalum lands new capital to help companies build data pipelines

TechCrunch

In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms. Army and led the product management team at Quest Software (which was acquired by Dell in 2012).

Company 191
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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber. and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). “[Our platform] has been used at Fortune 500 companies like a leading U.S.

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

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StubHub’s Rockstar Summer Interns

StubHub

The group of 20 is a diverse mix of college, grad school and PhD students who hail from a variety of disciplines: computer science, data science, business, software engineering, design, informatics, applied mathematics and economics. For the second project, we have been testing data and comparing it with different platforms.