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A Software Engineering Career Ladder

James Shore

I’ve been quiet lately, and that’s because I’ve joined OpenSesame as Vice President of Engineering. It’s been a fascinating opportunity to rebuild an engineering organization from the inside, and I’m loving every minute. I’m not sure if I’m allowed to say how many engineers we have, so let’s just say “lots,” but not “tons.”

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Article: Agile Development Applied to Machine Learning Projects

InfoQ Culture Methods

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

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Article: How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings

InfoQ Culture Methods

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

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Bringing AIOps to Machine Learning & Analytics

Cloudera

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

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Article: Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization

InfoQ Culture Methods

The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers. Software testing, especially in large scale projects, is a time intensive process.

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Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

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Article: Moving towards a Future of Testing in the Metaverse

InfoQ Culture Methods

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

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