Artificial intelligence has become the bull’s eye and a tech revolutionary in recent years. The demand for AI job roles is accelerating at a breakneck speed. Therefore, the demand for AI professionals will not cease to stop.

Earning an AI career is considerably challenging as the job markets are extremely competitive. However, an AI certification program could pose a favorable alternative for aspiring AI professionals.

The majority of Microsoft AI engineers are software developers having extensive knowledge in intelligent applications, training machine learning models, and extending proficiency in the Microsoft AI platform. For individuals looking to get into becoming a Microsoft AI engineer must-have hands-on working experience on Databricks, knowledge mining, Azure machine learning, ONNX, and cognitive services.

Additionally, as a Microsoft AI engineer the individual should have in-depth knowledge of models such as linear regression, decision trees, logistic regression, K-nearest neighbors, Naïve Bayes, random forest, deep neural networks, and bagging.

The most recent AI applications use microservices architecture across Cloud platforms to improve availability, performance, security, and manageability. Thus, if an individual is looking to design or develop AI-equipped applications they need to know the working functions of microservice development on frameworks (industry-leading) such as Python microservice development service, Jersy, Spring, and Swagger.

Required skillsets: –

  • The expert professional need to have high exposure working in operations and possess the ability to create CI/CD pipelines with the help of Azure boards, Azure test plans, Azure Artifacts, Azure Repos on a Microsoft Azure platform.
  • Extensive programming knowledge in Python, NodeJS, Java, HTML, CSS, JavaScript, Angular. As a Microsoft AI engineer, the individual is responsible for the development, deployment, and even providing support for AI-equipped applications.
  • The AI-applications are generally transferred to the end-users and large amounts of data get transferred from edge to cloud to train these models. Thus, Microsoft engineers should understand the guidelines of the development cycle of AI applications.
  • Most of the AI-applications are generally three-tier web-based applications that are based on cloud platforms. Therefore, the individual needs to have a solid understanding such as Kubernetes, Docker, and Kafka. Besides these the need to have critical knowledge in data structures, object-oriented programming, distributed applications, client-server architecture, and multithreading.
  • AI-application stack knowledge is crucial to have a deeper understanding of secure data models. Most of the AI applications are predominantly based on the data, thus depending on different kinds of a framework to work upon.

Most of the job responsibilities and job descriptions of AI engineers include understanding the business problem and setbacks of the existing technologies required for providing solutions. They need to identify and select the right AI technology to address the problem. They’re responsible for coordinating between the data scientists and data analysts.

Now as an aspiring AI professional, the individual need to have critical knowledge about core cases related to deep learning, machine learning, natural language processing, autonomous system, and they should be able to demonstrate their expertise on Microsoft AI platform using real-time frameworks such as Keras, Scikit-learn, PyTorch, Caffe, Theano, AutoML, OpenNN, CNTK, and MxNet.

Tech professionals possessing valuable skills such as AI and machine learning are earning sky-high salaries. According to Payscale, an AI engineer and a machine learning engineer are making a salary package of about USD 113,632 in Australia and about USD 144,000 per annum in the U.S. In Japan, the salary package ranges between 6 million to 50 million yen, which amounts about approximately USD 60-500,000 per annum. Whereas, China is said to be the country that pays their AI professionals handsomely. The salary package of an AI researcher in China is said to be around USD 567 – 624 thousand a year.

AI is great and is a promising technology for those willing to grab a career out of it. Amidst the chaos and terror going about AI stealing jobs, the technology is here to make our lives better and not destroy.