AI/ML Platform Engineer

Verizon - 3 days a week hybrid

San Diego/Dallas/Boston

Use Case: IoT Network AI Vault

Position: AI/ML Platform Engineer

Responsibilities:
* Design and implement a scalable, cloud-native AI-driven Data Management System for IoT enterprise data
* Develop robust data ingestion pipelines capable of handling high-volume, diverse sensor data from multiple sources
* Architect secure data storage and access mechanisms that ensure data privacy and compliance across various environments (On-Prem, AWS, etc.)
* Create efficient data discovery, querying, and integration capabilities for disparate data sources and formats
* Implement AI/ML-optimized data processing workflows to support advanced analytics and model development in IoT contexts

Required Skill Set:
* Extensive experience in designing and building large-scale, distributed systems for data management and AI/ML workflows
* Proficiency in cloud platforms (e.g., AWS, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes)
* Strong programming skills in languages such as Python, Java, or Scala, with expertise in big data technologies
* In-depth knowledge of data governance, security protocols, and compliance requirements in IoT and telecommunications domains
* Familiarity with AI/ML pipelines, data preprocessing techniques, and model deployment strategies in production environments

This position will play a crucial role in developing an AI-driven Data Management System that will revolutionize how our organization handles IoT enterprise data, ensuring accuracy, accessibility, and security throughout the data lifecycle while enabling advanced AI/ML capabilities.