What are the common jobs in Artificial Intelligence?
In AI industry many new job are created which need programming skills and soft skills.
1) Data Scientist: Data scientist uses machine learning to analyze big data and finds insight to take business decision. Data scientist handles big data source and knows programming language such as Python, SQL.
2) Robotics Engineer: Robotics engineers develop AI based robots and machines which take commands and response in human language. Robotics engineer is expert in robotic engineering, mechanical engineering, and electric engineering.
3) AI Software Engineer: AI software engineer develops and maintain AI systems for AI machines. AI software engineer should be good in programming language and good in big data handling.
4) Natural Language Processing Engineer (NLP): NLP engineer is good in natural language processing, handling voice assisted machines, and developing speech recognizing systems. A qualification like computer science, mathematics, and data analyzing is required for this job.
5) Computer Vision Engineer: A computer vision engineer develops AI based systems which can analyze real life objects and take decision. A qualification like programming.
6) Machine Learning Engineer: Machine learning engineer develops AI based machines able to learn and develop algorithm itself without human help. These systems make a bride between AI system and big data. Strong programming skill, good in machine learning and deep learning is required for this role.
1) Data Scientist: Data scientist uses machine learning to analyze big data and finds insight to take business decision. Data scientist handles big data source and knows programming language such as Python, SQL.
2) Robotics Engineer: Robotics engineers develop AI based robots and machines which take commands and response in human language. Robotics engineer is expert in robotic engineering, mechanical engineering, and electric engineering.
3) AI Software Engineer: AI software engineer develops and maintain AI systems for AI machines. AI software engineer should be good in programming language and good in big data handling.
4) Natural Language Processing Engineer (NLP): NLP engineer is good in natural language processing, handling voice assisted machines, and developing speech recognizing systems. A qualification like computer science, mathematics, and data analyzing is required for this job.
5) Computer Vision Engineer: A computer vision engineer develops AI based systems which can analyze real life objects and take decision. A qualification like programming.
6) Machine Learning Engineer: Machine learning engineer develops AI based machines able to learn and develop algorithm itself without human help. These systems make a bride between AI system and big data. Strong programming skill, good in machine learning and deep learning is required for this role.
What are the essential skills and toolkit required for AI career?
A career in AI sector needs a lot of skill to become a successful engineer. These skills are listed below:
Technical Skills:
1) Knowledge of big data technology, data handling, and data analyzing is crucial for AI systems.
2) Knowledge of machine learning, deep learning, and natural language processing is important for developing AI system.
3) Knowledge of programming language and database is required for developing AI.
4) Knowledge of mathematics, statistics, and probability is required for developing algorithm.
Soft Skills:
1) Strong team work, collaboration, and leadership is essential for developing AI system and solutions in a team.
2) Effective communication is important to explain complex algorithm in a simple way to their team.
3) Problem solving, creative thing, and decision making skills is helpful to face AI project issues.
4) Time management and management skill is important for managing multiple projects and deadlines.
Professional Toolkit:
1) Python a general purpose language with inbuilt library and advance feature is essential for AI system.
2) C++ flexible and object oriented language is required for AI machine hardware.
3) R is important language for big data analyzing, data collection, and data organizing
4) Tensorflow an open source machine learning platform and tools and library is required for developing AI applications.
Technical Skills:
1) Knowledge of big data technology, data handling, and data analyzing is crucial for AI systems.
2) Knowledge of machine learning, deep learning, and natural language processing is important for developing AI system.
3) Knowledge of programming language and database is required for developing AI.
4) Knowledge of mathematics, statistics, and probability is required for developing algorithm.
Soft Skills:
1) Strong team work, collaboration, and leadership is essential for developing AI system and solutions in a team.
2) Effective communication is important to explain complex algorithm in a simple way to their team.
3) Problem solving, creative thing, and decision making skills is helpful to face AI project issues.
4) Time management and management skill is important for managing multiple projects and deadlines.
Professional Toolkit:
1) Python a general purpose language with inbuilt library and advance feature is essential for AI system.
2) C++ flexible and object oriented language is required for AI machine hardware.
3) R is important language for big data analyzing, data collection, and data organizing
4) Tensorflow an open source machine learning platform and tools and library is required for developing AI applications.
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