GenAI ML Engineer: Build Scalable LLMs & Pipelines

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm located in Austin, Texas is seeking a qualified Machine Learning Engineer. This role involves architecting and deploying Large Language Models and building high-performance ML pipelines. Candidates should possess over 10 years of experience in ML Engineering, with proficiency in Python and AWS, and strong communication skills. The position offers a dynamic environment and opportunities for professional growth in the field of Generative AI.

Qualifications

• 10+ years of experience as an ML Engineer.
• Strong proficiency in Python and relevant IDEs.
• Hands-on experience with LLMs and RAG architectures.
• Familiarity with Docker, Kubernetes, and CI/CD tools.

Responsibilities

• Architect and deploy Large Language Models (LLMs).
• Build and maintain high-performance ML pipelines.
• Work closely with product managers and engineers.
• Present AI methodologies to non-technical stakeholders.
• Implement model optimization strategies.
• Stay updated on advancements in GenAI research.

Skills

ML Engineering

Generative AI

Python

Stakeholder Management

Problem-Solving

Excellent Communication

Education

Engineering degree in computer science

Tools

AWS

Docker

Kubernetes

PyTorch

TensorFlow

Job description

A leading technology firm located in Austin, Texas is seeking a qualified Machine Learning Engineer. This role involves architecting and deploying Large Language Models and building high-performance ML pipelines. Candidates should possess over 10 years of experience in ML Engineering, with proficiency in Python and AWS, and strong communication skills. The position offers a dynamic environment and opportunities for professional growth in the field of Generative AI.