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)
Cites examples of testing techniques used to ensure the efficiency and reliability of software products.
Level 2 Behaviors
(Light Experience)
Assists in performing software testing to identify code errors, bugs, and inconsistencies.
Level 3 Behaviors
(Moderate Experience)
Implements new and updated software engineering processes that adhere to regulatory standards.
Level 4 Behaviors
(Extensive Experience)
Develops software verification plans to ensure intuitive and robust product features.
Level 5 Behaviors
(Mastery)
Conceptualizes new software testing methods to deliver high-quality products that meet organizational objectives.
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)
Cites the different types of AI and its real-world applications in various sectors.
Level 2 Behaviors
(Light Experience)
Assists in identifying suitable algorithms and tools for machine learning tasks.
Level 3 Behaviors
(Moderate Experience)
Communicates with C-suite and business leaders on AI technology, strategy, and policy issues.
Level 4 Behaviors
(Extensive Experience)
Designs machine learning systems and self-running AI software solutions to automate predictive models.
Level 5 Behaviors
(Mastery)
Builds analytical and technical guidelines for team members and key stakeholders using AI tools.
Skill definition-Providing on-demand computing services that allow users to store, manage, and process their data remotely.
Level 1 Behaviors
(General Familiarity)
Cites examples of public cloud computing architectures and services.
Level 2 Behaviors
(Light Experience)
Assists in developing automated solutions using cloud-based server-less computing platforms.
Level 3 Behaviors
(Moderate Experience)
Analyzes various applications and platforms to automate and orchestrate cloud computing activities.
Level 4 Behaviors
(Extensive Experience)
Consults on emerging cloud computing technologies to improve our operational efficiency.
Level 5 Behaviors
(Mastery)
Builds security programs to elevate our security posture within a cloud computing infrastructure.
Skill definition-Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
Level 1 Behaviors
(General Familiarity)
Lists down the various type of algorithms used in deep learning.
Level 2 Behaviors
(Light Experience)
Supports the data flows that enable the development and testing of deep learning algorithms.
Level 3 Behaviors
(Moderate Experience)
Works with various professionals to scale and automate existing statistical and deep learning models for production workflows.
Level 4 Behaviors
(Extensive Experience)
Recommends deep learning approaches to solve complex business problems.
Level 5 Behaviors
(Mastery)
Leads the design and deployment of highly scalable solutions using state-of-the-art deep learning techniques.
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.
Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
Level 3 Behaviors
(Moderate Experience)
Participates in the redesign of organizational structures to reflect business priorities.
Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L performance.
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.
Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
Level 3 Behaviors
(Moderate Experience)
Uses tools to organize and monitor work progress.
Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
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.
