Designs and develops scalable solutions using AI tools and machine-learning models.
Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn.
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each AI Engineer III skill and competencie below to view definitions.
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.
Level 2 Behaviors
(Light Experience)
Prepares engineering documentation to ensure software adheres to user expectations.
Level 3 Behaviors
(Moderate Experience)
Utilizes version control systems (VCS) to track and manage changes in software codes.
Level 4 Behaviors
(Extensive Experience)
Evaluates and modifies existing development processes to optimize software production and reduce errors.
Level 5 Behaviors
(Mastery)
Develops optimization strategies to improve software product quality and usability.
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.
Level 2 Behaviors
(Light Experience)
Selects appropriate programming languages in building, testing, and deploying AI models.
Level 3 Behaviors
(Moderate Experience)
Translates unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Level 4 Behaviors
(Extensive Experience)
Manages AI teams to develop and test prototype software to implement innovative algorithms.
Level 5 Behaviors
(Mastery)
Formulates standard methodologies for machine learning and AI product development and solutions.
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 automation and orchestration frameworks of cloud computing.
Level 2 Behaviors
(Light Experience)
Follows our established procedures in helping with the planning of cloud computing strategies.
Level 3 Behaviors
(Moderate Experience)
Maintains multi-site network connectivity to ensure the availability of cloud computing resources.
Level 4 Behaviors
(Extensive Experience)
Monitors industry trends to enhance the future direction of cloud services in our organization.
Level 5 Behaviors
(Mastery)
Designs and develops tools to support overall cloud computing capabilities at our organization.
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.
Level 2 Behaviors
(Light Experience)
Performs data analysis using specialized software and deep machine learning methods.
Level 3 Behaviors
(Moderate Experience)
Performs forward propagation and backpropagation to reduce the error and achieve high accuracy in a particular task.
Level 4 Behaviors
(Extensive Experience)
Facilitates testing of deep learning models to identify and resolve engineering design problems.
Level 5 Behaviors
(Mastery)
Generates a mathematical framework to integrate deep learning algorithms into formal control methods.
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.
Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
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.
Level 2 Behaviors
(Light Experience)
Records all appointments on the calendar to easily track daily activities.
Level 3 Behaviors
(Moderate Experience)
Sets up processes to ensure delivery of high-quality work.
Level 4 Behaviors
(Extensive Experience)
Employs techniques for motivating personnel to meet or exceed accuracy goals.
Level 5 Behaviors
(Mastery)
Leads the creation of tools for enhancing and assuring accuracy.
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 an AI Engineer III, he or she needs to be skilled in Innovation, be skilled in Attention to Detail, and be skilled in Time Management.
