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# Senior Specialist - Data Engineering

- **Company:** LTM Inc
- **Location:** Hillsboro, OR, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Computing Platforms, Computer Clusters, Data Centers, Information Engineering, Distributed Computing Environment, Distributed Systems, Machine Learning, OpenAI, Kusto Query Language, Server Administration, Azure Data Factory, Hardware Testing, Generative AI, Azure OpenAI API, Machine Learning Operations, Azure AI, Artificial Intelligence Markup Language (AIML)
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=630dba49c5b5ff76

## About the Role

Seeking an experienced professional with 8 years in server architecture and AIML infrastructure to design implement and validate highperformance computing environments and AI frameworks, 8 years of experience in server architecture data center infrastructure or highperformance computing Strong expertise in AIML infrastructure including GPU clusters AI frameworks and distributed training Deep knowledge of server hardware architecture encompassing CPU GPU memory hierarchy storage and networking Handson experience with data center lab setups and hardware validation Familiarity with AI frameworks such as Azure AI Azure OpenAI Service or similar platforms Proficient in Machine Learning and AI Engineering with general expertise in the field Specific platform knowledge of Azure Data Explorer ADX Skilled in Kusto Query Language KQL for data analysis Experience in largescale data analysis involving logs and telemetry data Ability to design and implement machine learning pipelines Expertise in traditional ML models and Generative AI approaches particularly for anomaly detection use cases Focused on generating predictions and actionable insights for distributed nodes or systems

## Description

Architect and maintain AIML infrastructure including GPU clusters and distributed training environments

Design implement and optimize machine learning pipelines for scalable AI solutions

Conduct hardware validation and manage data center lab setups to ensure robust infrastructure performance

Analyze largescale telemetry and log data using Kusto Query Language and Azure Data Explorer

Develop and apply ML models and generative AI techniques for anomaly detection and system insights

Collaborate with crossfunctional teams to integrate AI frameworks such as Azure AI and OpenAI services

Generate actionable insights and predictions to improve distributed system operations and performance

Stay updated with emerging trends in server architecture AIML infrastructure and data center technologies