8 hard skills or competencies (industry competencies) for AI Engineer III
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 III
Skill definition-Providing on-demand computing services that allow users to store, manage, and process their data remotely.
Level 1 Behaviors
(General Familiarity)
Cites security solutions for cloud-based computing.
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Level 2 Behaviors
(Light Experience)
Assists with transitioning cloud computing databases and software as a service technology.
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Level 3 Behaviors
(Moderate Experience)
Completes the architecture assessments of new computing solutions within public cloud services.
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Level 4 Behaviors
(Extensive Experience)
Evaluates cloud computing architectures to drive cost reduction in managing IT systems.
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Level 5 Behaviors
(Mastery)
Conceptualizes new IT cloud computing products and service offerings to drive business continuity.
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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 application of deep learning algorithms and workflows.
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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)
Facilitates testing of deep learning models to identify and resolve engineering design problems.
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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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8 soft skills or competencies (core competencies) for AI Engineer III
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)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
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Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
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Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
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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)
Records all appointments on the calendar to easily track daily activities.
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Level 3 Behaviors
(Moderate Experience)
Sets up processes to ensure delivery of high-quality work.
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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 III skills and competencies
There are 8 hard skills for AI Engineer III, Software Engineering, Artificial Intelligence (AI), Cognitive Computing, etc.
5 general skills for AI Engineer III, Cloud Computing, Deep Learning, Machine Learning, etc.
8 soft skills for AI Engineer III, Innovation, Attention to Detail, Time Management, etc.
While the list totals 21 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 III, he or she needs to be skilled in Innovation, be skilled in Attention to Detail, and be skilled in Time Management.