8 hard skills or competencies (industry competencies) for AI Engineer IV
Skill definition-Applying computer science and engineering principles, methods, and practices to design, develop, deploy, and maintain reliable software systems.
Level 1 Behaviors
(General Familiarity)
Defines the concepts, components, and methodologies used in software engineering.
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Level 2 Behaviors
(Light Experience)
Follows established guidelines and standards when carrying out basic software maintenance tasks.
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Level 3 Behaviors
(Moderate Experience)
Operates complex quality assurance tools to test and evaluate software products before deployment.
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Level 4 Behaviors
(Extensive Experience)
Directs the implementation of testing procedures to improve the usability of software products.
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Level 5 Behaviors
(Mastery)
Designs and builds news software engineering tools to drive efficiency in operations.
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Skill definition-Applying the technologies and methodologies of artificial intelligence(AI) to develop and implement AI products and services for various business goals.
Level 1 Behaviors
(General Familiarity)
Describes the importance and goals of artificial intelligence (AI) across businesses and organizations.
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Level 2 Behaviors
(Light Experience)
Compiles reports and assessments on data and AI capability requirements for senior management's review.
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Level 3 Behaviors
(Moderate Experience)
Consults with managers to determine and refine machine learning objectives.
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Level 4 Behaviors
(Extensive Experience)
Evaluates advanced statistical techniques using AI methods to advance knowledge and pursue new approaches.
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Level 5 Behaviors
(Mastery)
Creates machine learning algorithms to analyze vast volumes of historical data to make predictions.
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5 general skills or competencies (Job family competencies) for AI Engineer IV
Skill definition-Providing on-demand computing services that allow users to store, manage, and process their data remotely.
Level 1 Behaviors
(General Familiarity)
Explains the common design patterns, data structures, and algorithms in cloud computing.
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Level 2 Behaviors
(Light Experience)
Follows our established procedures in helping with the planning of cloud computing strategies.
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Level 3 Behaviors
(Moderate Experience)
Uses modern cloud computing services to improve the performance of cloud applications.
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Level 4 Behaviors
(Extensive Experience)
Monitors industry trends to enhance the future direction of cloud services in our organization.
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Level 5 Behaviors
(Mastery)
Designs and develops tools to support overall cloud computing capabilities at our organization.
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Skill definition-Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
Level 1 Behaviors
(General Familiarity)
Explains the importance and benefits of deep learning in automation processes.
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Level 2 Behaviors
(Light Experience)
Performs data analysis using specialized software and deep machine learning methods.
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Level 3 Behaviors
(Moderate Experience)
Performs forward propagation and backpropagation to reduce the error and achieve high accuracy in a particular task.
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Level 4 Behaviors
(Extensive Experience)
Oversees the development of future generations of deep learning processors and computing platforms.
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Level 5 Behaviors
(Mastery)
Generates a mathematical framework to integrate deep learning algorithms into formal control methods.
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9 soft skills or competencies (core competencies) for AI Engineer IV
Skill definition-The ability and process of implementing new ideas and initiatives to improve organizational performance.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
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Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
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Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
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Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists best practices and tools to maintain high accuracy and thoroughness in the workplace.
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Level 2 Behaviors
(Light Experience)
Uses checklists to ensure that information goes out error-free.
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Level 3 Behaviors
(Moderate Experience)
Suggests solutions to issues that arise while executing the tasks.
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Level 4 Behaviors
(Extensive Experience)
Employs techniques for motivating personnel to meet or exceed accuracy goals.
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Level 5 Behaviors
(Mastery)
Leads the creation of tools for enhancing and assuring accuracy.
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Summary of AI Engineer IV skills and competencies
There are 8 hard skills for AI Engineer IV, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
5 general skills for AI Engineer IV, Cloud Computing, Deep Learning, Machine Learning, etc.
9 soft skills for AI Engineer IV, Innovation, Attention to Detail, Time Management, etc.
While the list totals 22 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a AI Engineer IV, he or she needs to be skilled in Innovation, be skilled in Attention to Detail, and be skilled in Time Management.