Principal AI/ML Engineer

Position Description: 

Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives. Performs deep data analysis on multiple database platforms, using SQL.  Supports customer personalization and optimization efforts according to Artificial Intelligence (AI) and Machine Learning (ML) techniques. Designs, implements, and improves technical solutions for AI model deployment, data pipelines, hosting, and Application Programming Interface (API) access. Deploys code and services to Amazon Web Services (AWS) by establishing Continuous Integration/Continuous Deployment (CI/CD) pipelines. Develops APIs and front-end applications, using Java, Spring Boot, Python, or Angular. Extracts and manipulates data pulled from databases or unstructured data  sources, by building AWS-based AI solutions.  

Primary Responsibilities: 

• Builds sophisticated analytics and ML platforms and tools to enable innovative AI solutions that enhance data accessibility and intelligent automation. 

• Designs, builds, and automates complex and customized data pipelines with multiple ingress sources and consumers. 

• Automates manual and error prone processes using AI and ML techniques. 

• Deploys ML models and operations. 

• Deploys solutions using software engineering principles.  

• Deploys solutions using Cloud technologies.  

• Builds innovative and high business value AI powered solutions to improve customer experiences. 

• Participates in architecture design discussions and implements application-level architecture. 

• Develops comprehensive documentation for multiple applications or subsystems. 

• Establishes full project life cycle plans for complex projects across multiple platforms. 

• Advises on risk assessment and risk management strategies for projects. 

• Plans and coordinates project schedules and assignments for multiple projects. 

• Provides technology solutions to daily issues and technical evaluation estimates on technology 

• initiatives. 

• Advises senior management on technical strategy. 

• Mentors junior team members. 

• Develops original and creative technical solutions to on-going development efforts. 

Education and Experience: 

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, Analytics, Mathematical Finance, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal AI/ML Engineer  (or closely related occupation) performing requirement analysis, design, and development of Cloud-native AI and ML platforms, using information r