KEY RESULT AREAS AND SPECIFIC RESPONSIBILITIES
● Solutioning and Design
○ Analyze business requirements and design a solution utilizing a possible
combination of data science techniques, AI algorithms, machine learning
models, and existing cloud services to address the pain points
○ Design optimal solutions and identify the optimal deployment strategies that
maximize computational efficiency and minimize cost
○ Design of AI algorithms and machine learning systems in the following areas:
■ Computer Vision
■ Natural Language Processing
■ Sound Processing
■ Anomaly Detection
■ Forecasting
● Technical Leadership
○ Spearhead the exploration of new technologies and cascade their usage to
other team members
○ Convert solution designs into low-level task breakdowns that may be
distributed among developer teams, taking into consideration the inter-
dependencies of the tasks
○ Lead the estimation of tasks, taking into consideration possible risks that may
extend the development
○ Review the outputs of other team members and ensure that they follow best practices
○ Help in resolving technical issues faced by team members, employing critical
out-of-the-box thinking when considering possible solutions
● Development of Data Science and AI/ML Solutions
○ Develop AI algorithms and training of machine learning models, including
deep learning models, that perform the following functions:
■ Classification
■ Regression
■ Forecasting
■ Anomaly Detection
○ Analyze datasets in the context of usage for advanced analytics and machine
learning systems, including visualization of datasets for easier analysis
○ Perform exploratory analysis on datasets using advanced analytics techniques to generate useful insights
○ Perform basic data collection and data manipulation
○ Evaluate AI and ML solutions to assess performance
○ Deploy models and algorithms, especially using cloud deployment technologies
● Solutioning and Design
o Analyze business requirements and design a solution utilizing a possible
combination of data science techniques, AI algorithms, machine learning models, and existing cloud services to address the pain points
o Design optimal solutions and identify the optimal deployment strategies that
maximize computational efficiency and minimize cost
o Design of AI algorithms and machine learning systems in the following areas:
(1) Computer Vision
(2) Natural Language Processing
(3) Sound Processing
(4) Anomaly Detection
(5) Forecasting
● Technical Leadership
o Spearhead the exploration of new technologies and cascade their usage to other
team members
o Convert solution designs into low-level task breakdowns that may be distributed
among developer teams, taking into consideration the inter-dependencies of the tasks
o Lead the estimation of tasks, taking into consideration possible risks that may extend the development
o Review the outputs of other team members and ensure that they follow best practices
o Help in resolving technical issues faced by team members, employing critical out-of-the-box thinking when considering possible solutions
● Development of Data Science and AI/ML Solutions
o Develop AI algorithms and training of machine learning models, including deep
learning models, that perform the following functions:
(1) Classification
(2) Regression
(3) Forecasting
(4) Anomaly Detection
o Analyze datasets in the context of usage for advanced analytics and machine
learning systems, including visualization of datasets for easier analysis
o Perform exploratory analysis on datasets using advanced analytics techniques to generate useful insights
o Perform basic data collection and data manipulation
o Evaluate AI and ML solutions to assess performance
o Deploy models and algorithms, especially using cloud deployment technologies
QUALIFICATIONS
● At least 4 years of experience in developing advanced analytics, AI, and machine learning solutions
● At least 1 year of experience in leading a team of data scientists and/or AI/ML engineers
● Bachelor’s degree in Math, Statistics, Hard Sciences (Physics, Chemistry,
Biology, etc.), Engineering, or related field with a good grasp of the following subjects:
o Probability and Statistics
o Calculus
o Linear Algebra
o Analysis of Algorithms
● Proficiency in Python programming and usage of cloud services, particularly AWS
● Strong analytical and critical thinking skills
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