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10 Awesome & High-Paying AI Careers to Pursue in 2024

Knowledge Hut

Roles & Responsibilities: Develop algorithms and machine learning models Implement AI frameworks and programming languages Design, test, and deploy AI models Collaborate with data scientists and other AI professionals Top Hiring Companies: Google, IBM, Microsoft, Amazon, Facebook, NVIDIA, Apple, Intel, Baidu, and Oracle.

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How To Become a Software Developer in 2023?

Knowledge Hut

Data Structures and Algorithms Most tech companies look for software developers who are proficient in data structures and algorithms. Your problem-solving skills and coding skills will directly influence your efficiency in Data Structures and Algorithms. To become a software developer, you must possess the following skills.

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What Does a Machine Learning Engineer Do? [Roles & Responsibilities]

Knowledge Hut

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. You will become a seasoned professional in statistics and machine learning algorithms by now.

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How to Become a Cloud Security Engineer in 2024? [Step-by-Step]

Knowledge Hut

Some of the skills under this category are: Cloud Platforms : Gain in-depth knowledge of at least one major cloud platform, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Encryption : You should get knowledge of encryption algorithms, techniques, and tools.

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Top Software Developer Jobs in USA in 2023

Knowledge Hut

Machine Learning Engineer These developers specialize in creating and implementing machine learning models and algorithms. They typically have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

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Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

ETL Pipeline Create a complete ETL (Extract, Transform, Load) pipeline on Amazon Web Services. Strong knowledge of machine learning/deep learning algorithms and related concepts. Based on particular requirements for data engineering, this project will offer insights on when to apply each approach.