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)
Explains the importance of using suitable programming languages and platforms in software engineering.
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Level 2 Behaviors
(Light Experience)
Prepares engineering documentation to ensure software adheres to user expectations.
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Level 3 Behaviors
(Moderate Experience)
Utilizes version control systems (VCS) to track and manage changes in software codes.
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Level 4 Behaviors
(Extensive Experience)
Evaluates and modifies existing development processes to optimize software production and reduce errors.
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Level 5 Behaviors
(Mastery)
Develops optimization strategies to improve software product quality and usability.
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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)
Identifies evolving trends and key challenges in AI applied machine learning and deep learning.
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Level 2 Behaviors
(Light Experience)
Selects appropriate programming languages in building, testing, and deploying AI models.
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Level 3 Behaviors
(Moderate Experience)
Translates unstructured data into useful information by auto-tagging images and text-to-speech conversions.
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Level 4 Behaviors
(Extensive Experience)
Manages AI teams to develop and test prototype software to implement innovative algorithms.
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Level 5 Behaviors
(Mastery)
Formulates standard methodologies for machine learning and AI product development and solutions.
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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)
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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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)
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 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.