Salary based on industry

AI Engineer

AI Engineers develop, test, and implement AI models and systems. They work on creating AI solutions that can solve complex problems and improve business processes. 

Key responsibilities:

1. Design and develop AI algorithms
2. Implement machine learning models
3. Integrate AI systems with existing infrastructure

The average salary of an AI engineer in different city locations :

Salary based on industry

Research Scientist

Research Scientists in AI focus on advancing the field through innovative research. They work on cutting-edge problems and develop new algorithms and methodologies.

Key responsibilities:

1. Conduct research in AI and machine learning
2. Publish findings in academic journals
3. Collaborate with other researchers and engineers

The average salary of Research Scientists in different city locations:

Salary based on industry

Machine Learning Engineer

Machine Learning Engineers are professionals who are engaged in the development of autonomous programs that can learn on their own. It focuses on creating quantitative and analytical tools that are at the core of AI solutions. 

Key responsibilities:

1. Design and implement machine learning systems
2. Improve existing ML models and algorithms
3. Work along with software engineers and data scientists

The average salary of  Machine Learning Engineer in different city locations:

Salary based on industry

Career options in artificial intelligence continue to expand as the field grows. The next five roles offer additional pathways for those interested in this exciting domain.

Data Scientist

To assist organisations in making better decisions, data scientists analyse and understand complicated data. They are essential to the creation of the models and algorithms that drive intelligent systems in AI.

Key responsibilities:

1. Analyse large datasets to extract insights
2. Develop predictive models using machine learning
3. Communicate findings to stakeholders 

The average salary of a Data Scientist in a different city location:

Salary based on industry

Business Intelligence Developer

Business Intelligence Developers use AI to help companies make data-driven decisions. They create systems that collect, analyse, and visualise business data.

Key responsibilities:

1. Design and implement BI solutions
2. Create data visualisations and dashboards
3. Analyse the business information and identify business prospects

The average salary of a Business Intelligence Developer in different city locations: 

Salary based on industry

Machine Learning Engineer

This role overlaps with the Design and build machine learning systems  position but deserves its own spotlight due to its importance in AI. Machine Learning Engineers focus specifically on creating and implementing machine learning models.

Key responsibilities:

1. Develop and optimise machine learning algorithms
2. Train and evaluate ML models
3. Deploy ML models in production environments 

The average salary of  Machine Learning Engineer  in different city locations

Salary based on industry

Data Analyst

Data Analysts work with AI systems to interpret complex data sets. They play a crucial role in turning raw data into actionable insights for businesses.

Key responsibilities:

1. Clean and preprocess data for analysis
2. Perform statistical analysis on large datasets
3. Develop reports and graphics to convey findings 

The average salary of  Data Analysts in different city locations

Salary based on industry

Product Manager

AI product managers manage the creation of goods using AI capabilities. They serve as a link between business goals and technological teams.

Key responsibilities:

1. Define product vision and strategy for AI products
2. Coordinate between technical teams and stakeholders
3. Analyse market trends and user needs for AI products 

The average salary of a product manager  in different city locations

Salary based on industry

Please Note: These salaries are mentioned based on current information available in the market. Therefore, the actual number may be higher or lower depending on the location, experience, institute and economic factors at large.