Drives the implementation of Artificial Intelligence and Machine Learning architecture, utilizing approaches of various Artificial Intelligence and Machine Learning technologies and methods to address client business problems and needs, while complying with companys strategies and business goals.
Role Summary
This role drives the implementation of AI/ML architecture using diverse technologies to address client needs while aligning with business goals; this role also leads model development and training, drives experimentation, and champions scalable, high-performance machine learning solutions.
Responsibilities
1. Assesses business requirements and the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business needs, with internal and external clients and partners.
2. Builds the deployment plan for highly scalable and secure Artificial Intelligence platforms, applications, and systems that run in various cloud infrastructures and Artificial Intelligence devices successfully.
3.
Applies architecture specification and documents technical and configuration for all users (customers, engineering teams, product teams); resolves Artificial Intelligence/Machine Learning solution deployment issues.
4. Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.
5. Applies moderately complex machine learning algorithms and technologies into organizational practices, such as regression models.
6. Analyzes the statistical analyses on business and processes using machine learning techniques to find out opportunities for business development and process improvement.
7. Performs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems.
8. Optimizes statistical models continuously to