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How to Hire a Part-time Machine Learning Engineer

Mobilunity

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer.

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Using Cloudera Machine Learning to Build a Predictive Maintenance Model for Jet Engines

Cloudera

To maximize safety for all passengers and crew members, while also delivering profits, airlines have heavily invested in predictive analytics to gain insight on the most cost-effective way to maintain real-time engine performance. Fig 1: Turbofan jet engine. The Process. Airlines design their aircraft to operate at 99.999% reliability.

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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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11 most in-demand gen AI jobs companies are hiring for

CIO

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

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Machine Learning Engineers Won’t Be Replaced Anytime Soon

Dataiku

Last week, Luke Posey published an opinion piece called Machine Learning Engineers Will Not Exist In 10 Years. However, it’s hard to imagine a world where software and machine learning engineers merge, and I’ll unpack why in this blog post.

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How to Measure Your MLOps Performance

Xebia

In the last few years, the discipline of Machine Learning Operations (MLOps) has been received a lot of traction to get more Machine Learning (ML) solutions into productions, reduce iteration cycles, and reduce costs for engineering and maintenance. How can you assess the maturity of your organization in MLOps?

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Diving Deep Into The World Of Data Science With Ashutosh Kumar

Hacker Earth Developers Blog

Ashutosh: I have been a part of recruitment in the data science field for nearly 14 years of my career and have recruited for successful startups (seed to Series D) and MNCs across levels (entry, junior, mid and senior management) and profiles including data analysts, data scientist, ML engineers, full stack developers, and DevOps/MLOps.