GenAI ML Engineer: LLMs, Production Pipelines & MLOps

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 170,000 - 250,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced ML Engineer to architect, fine-tune, and deploy large language models and Generative AI techniques. You will build high-performance ML pipelines and GPU-based inference systems on AWS, partnering with product managers, data scientists, and engineers to translate business needs into robust technical specs.

The role emphasizes collaboration, model optimization, and staying current with GenAI advances, with opportunities to guide offshore

Qualifications

• 10+ years as an ML Engineer
• 1–2 years in Generative AI or NLP projects
• Strong AWS experience

Responsibilities

• Architect, fine-tune, and deploy LLMs and Generative AI techniques
• Build and maintain scalable ML pipelines and GPU-based inference systems in cloud environments
• Collaborate with product managers, data scientists, and engineers to translate requirements into specs
• Present AI methodologies and performance results to stakeholders

Skills

Python

GenAI

AWS

NLP

MLOps

GitHub Copilot

Education

Engineering degree in CS or equivalent

ML certification

Tools

Docker

Kubernetes

CI/CD

GitHub Copilot

Job description

Cloud Analytics Technologies, LLC is seeking an experienced ML Engineer to architect, fine-tune, and deploy large language models and Generative AI techniques. You will build high-performance ML pipelines and GPU-based inference systems on AWS, partnering with product managers, data scientists, and engineers to translate business needs into robust technical specs.

The role emphasizes collaboration, model optimization, and staying current with GenAI advances, with opportunities to guide offshore