Data Scientist: This role is focused on using machine learning techniques to extract insights from large datasets. Data scientists typically have a background in statistics, computer science, and domain expertise in the industry they are working in.

 

Machine Learning Engineer: This role is focused on developing and deploying machine learning models. Machine learning engineers typically have a background in computer science, software engineering, and experience with programming languages such as Python and R.

 

Research Scientist: This role is focused on conducting original research in machine learning. Research scientists typically have a PhD in a relevant field such as computer science, statistics, or electrical engineering.

 

Business Intelligence Analyst: This role is focused on using machine learning techniques to analyze business data and make strategic recommendations. Business intelligence analysts typically have a background in business or a related field, and experience with data analysis tools such as SQL and Excel.

 

Artificial Intelligence Engineer: This role is focused on developing and implementing AI systems, which includes developing ML models, but also other AI technologies like computer vision, natural language processing, and robotics.

 

Deep Learning Engineer: This role is focused on developing and implementing deep learning models, which is a subset of machine learning that uses neural networks with multiple layers. This role requires experience with deep learning frameworks like TensorFlow and PyTorch.

 

Machine Learning Consultant: This role involves advising organizations on how to use machine learning to solve business problems and achieve their goals. Machine learning consultants may have a background in computer science, statistics, or business, and may have experience with a range of machine learning techniques and tools.

 

Machine Learning Product Manager: This role is responsible for the development and success of a machine learning product within a company. This includes identifying customer needs, developing a product strategy, and working with engineering and data science teams to bring the product to market.

 

Machine Learning Researcher: This role is focused on conducting cutting-edge research in machine learning, developing new algorithms and models, and publishing research papers. Researchers may have a PhD in a relevant field such as computer science, mathematics, or statistics.

 

Machine Learning Project Manager: This role involves leading cross-functional teams of data scientists, engineers, and other stakeholders to deliver machine learning projects on time and within budget. This role requires experience in project management, as well as an understanding of machine learning techniques and technologies.

 

Machine Learning Analyst: This role involves analyzing data to extract insights and make predictions using machine learning models. Machine learning analysts may have a background in statistics, computer science, or a related field, and may have experience with data analysis tools such as Python and R.

 

Machine Learning Developer: This role is focused on developing machine learning models and algorithms, and implementing them in production systems. Machine learning developers typically have a background in computer science, software engineering, and experience with programming languages such as Python, R and Java.