Preface – This post is part of the Salary series.

Introduction

The technologies such as artificial intelligence and machine learning are directly linked to computer engineering. These two techniques are the most popular for developing intelligent systems today. A computer system that can simulate human intellect was created via AI technology. It is made from the words “Artificial” and “intelligence,” which signify “a thinking ability produced by humans.”
The artificial intelligence system uses such algorithms that can function using their knowledge rather than needing to be pre-programmed. It uses machine learning techniques like educational neural network models and the reinforced learning algorithm.
Machine learning allows system software to use historical data to forecast the future or make confident choices without pattern recognition. A vast amount of organized and moderate data is used in machine learning for a machine learning model to produce reliable results or predict outcomes based on that data.
In this article, we will discuss the Salary of Artificial Intelligence and Machine Learning Engineer.

Responsibilities

• Investigate, alter, and put data analytics and scientific prototypes to use.
• Develop and build plans and procedures for machine learning.
• Utilizing test results to make statistical analysis and model improvement
• Look for readily available training datasets online.
• Models and ML systems must be trained and updated as needed.
• Enhance and expand the present ML libraries and frameworks.
• Develop machine learning applications in line with user or client requirements.
• Candidates must look into, try out, and use the right ML tools and algorithms.
• Access the potential for ML algorithms to resolve issues and rate them according to achievement likelihood.
• Must fully understand data through analysis and visualization and identify differences in data distribution that could impact a model’s performance when used in real-world scenarios.
• Understanding of the latest tools, services, and frameworks relevant to AI and ML.
• Understanding of Database designs and relevant algorithms.
• Understanding of API connections and data scrapping.
• Understanding of Analytics tools like SAP Analytics, Microsoft Power BI and etc
• Understanding of business use cases relevant to data modeling
• Understanding of coding languages like Python, Go, and Rust
• Understanding of major AI/ML tools like OpenAI, Rasa, TensorFlow, and deepmind.

Scope

The creation of tools, software, and other facets of the IT sector has benefited from artificial intelligence and machine learning in India. The future lies in chatbots, healthcare, education, transport, the manufacturing industry, smart devices, agriculture, cyber security, and many more.

Salary of Artificial Intelligence and Machine Learning Engineer in India (INR)

Salary of AI and ML Engineer in Singapore (SGD)

Salary of AI and ML Engineer the USA (USD)

Salary of AI and ML Engineer in Britain (GBP)

Salary of AI and ML Engineer in Europe (EURO)

Salary of Artificial Intelligence and Machine Learning Engineer in Australia (AUD)

Note: Here, PA stands for Per Annum, i.e., Annual Income.