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The Ultimate Guide to High-Potential Identification in Tech Hiring

Hacker Earth Developers Blog

For instance, assigning a project that involves designing a scalable database architecture can reveal a candidates technical depth and strategic thinking. Customizable technical assessments HackerEarth provides a wide range of coding challenges and assessments tailored to different job roles, from software engineers to data scientists.

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors.

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Sustainable Software Engineering Through the Lens of Environmental

Xebia

Did you know that sustainable software engineering is a topic we frequently discuss and engage with? But were you aware that sustainable software engineering encompasses five distinct dimensions? Sustainable Software Engineering Environmental Dimension? The Green Software Foundation. The best part?

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Data trends in 2025

Xebia

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Evaluation criteria To assess the quality of the results produced by generative AI, Verisk evaluated based on the following criteria: Accuracy Consistency Adherence to context Speed and cost To assess the generative AI results accuracy and consistency, Verisk designed human evaluation metrics with the help of in-house insurance domain experts.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. xlarge across all metrics.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML. In her free time, she likes to go for long runs along the beach.