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CareerCrate

Artificial Intelligence

The field of computer science that focuses on creating machines that can simulate human intelligence. Opportunities in AI include roles such as machine learning engineers, AI researchers, and AI software developers.

AI Researcher

AI Researchers focus on studying and creating new AI technologies and methodologies. They stay updated on the latest research and aim to advance the field by developing new algorithms or enhancing existing ones.


Soft Skills:
Creativity, critical thinking, communication.

Hard Skills:
Proficiency in programming languages (Python, R), machine learning, deep learning, knowledge of AI principles and mathematics.

Personality Traits:
Curious, innovative, detail-oriented.

AI Engineer

AI Engineers are computer programmers who assist in the development of artificial intelligence. They use machine learning algorithms and deep learning neural networks to create autonomous systems that can improve and automate tasks.


Soft Skills:
Problem-solving, teamwork, communication.

Hard Skills:
Proficiency in programming languages (Python, Java, etc.), understanding of AI principles, experience with machine learning frameworks (TensorFlow, PyTorch, etc.), cloud computing.

Personality Traits:
Analytical, innovative, persistent.

Machine Learning Engineer

Machine Learning Engineers develop algorithms that allow machines to learn from data, identify patterns, and make decisions. These engineers work closely with data scientists to build scalable machine learning solutions.


Soft Skills:
Problem-solving, communication, teamwork.

Hard Skills:
Proficiency in programming languages (Python, R), understanding of machine learning algorithms, deep learning, data modelling, and evaluation.

Personality Traits:
Analytical, innovative, detail-oriented.

Data Scientist

Data scientists analyse and interpret complex data to help companies make decisions. They use AI tools and algorithms to analyse data and often need to create custom algorithms to suit the specific needs of the business.


Soft Skills:
Communication, problem-solving, decision-making.

Hard Skills:
Proficiency in programming languages (Python, R), statistical analysis, machine learning, data visualisation.

Personality Traits:
Curious, detail-oriented, strategic thinker.

Natural Language Processing Engineer

NLP Engineers work on the interactions between computers and humans through natural language. They program computers to process large amounts of natural language data.


Soft Skills:
Problem-solving, teamwork, adaptability.

Hard Skills:
Proficiency in programming languages (Python, R), understanding of NLP techniques, machine learning, linguistics.

Personality Traits:
Innovative, analytical, detail-oriented.