Skills & Competencies for AI Engineer III

AI Engineer III job profile

Book a Demo and Receive a Sample Job Profile

JOB SUMMARY for AI Engineer III

Designs and develops scalable solutions using AI tools and machine-learning models.

JOB RESPONSIBILITIES for AI Engineer III

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.

AI Engineer III SALARY RANGE

BASE 50%
$127,269
TOTAL 50%
$131,907
Job Level
P03
Job Code
IT10000584
Education/Degree
Bachelor's Degree
Reports To
Manager or Head of a Unit/Department

AI Engineer III Skills and Competencies List

Proficiency Levels and Behavioural Indicators
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.
INDUSTRY COMPETENCIES JOB FAMILY COMPETENCIES CORE COMPETENCIES
BOOK A DEMO

8 hard skills or competencies (industry competencies) for AI Engineer III

1 Industry Competency – Software Engineering
Proficiency Level -3
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Follows established guidelines and standards when carrying out basic software maintenance tasks.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Operates complex quality assurance tools to test and evaluate software products before deployment.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Directs the implementation of testing procedures to improve the usability of software products.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Designs and builds news software engineering tools to drive efficiency in operations.
See 4 More Skill Behaviors
2 Industry Competency – Artificial Intelligence (AI)
Proficiency Level -3
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Compiles reports and assessments on data and AI capability requirements for senior management's review.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Consults with managers to determine and refine machine learning objectives.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Evaluates advanced statistical techniques using AI methods to advance knowledge and pursue new approaches.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Creates machine learning algorithms to analyze vast volumes of historical data to make predictions.
See 4 More Skill Behaviors
3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

5 general skills or competencies (Job family competencies) for AI Engineer III

1 Job Family Competencies – Cloud Computing
Proficiency Level -3
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Assists with transitioning cloud computing databases and software as a service technology.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Completes the architecture assessments of new computing solutions within public cloud services.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Evaluates cloud computing architectures to drive cost reduction in managing IT systems.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Conceptualizes new IT cloud computing products and service offerings to drive business continuity.
See 4 More Skill Behaviors
2 Job Family Competencies – Deep Learning
Proficiency Level -3
Skill definition-Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
Level 1 Behaviors
(General Familiarity)
Describes the concepts and fundamental statistics of deep learning.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Conducts research to identify cutting-edge techniques and tools in deep learning.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Deploys accurate deep learning models to support computer vision tasks.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Creates and leverages deep learning models to improve the effectiveness of our business operations.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced tools in developing language models to solve complex deep learning problems.
See 4 More Skill Behaviors
3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

8 soft skills or competencies (core competencies) for AI Engineer III

1 Core Competencies – Innovation
Proficiency Level -3
Skill definition-The ability and process of implementing new ideas and initiatives to improve organizational performance.
Level 1 Behaviors
(General Familiarity)
Names our key stakeholders from a business value chain perspective.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
See 4 More Skill Behaviors
2 Core Competencies – Attention to Detail
Proficiency Level -3
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists the traits of an employee showing great attention to detail.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Suggests solutions to issues that arise while executing the tasks.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
See 4 More Skill Behaviors
3 AI Engineer III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - AI Engineer III
Proficiency Level - 4
5 Competency for - AI Engineer III
Proficiency Level - 5

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.

It's Easy to Get Started

Get the precision you need to assess, hire, and develop top talent with skills and competencies – see how with a personalized demo.