Gen AI ML Engineer — Build & Deploy LLMs in Cloud

MACHINE LEARNING TECHNOLOGIES LLC; Austin (TX); On-site; USD 83,000 - 165,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Austin, TX seeks an ML engineer with Gen AI expertise to architect, fine-tune, and deploy LLM-based solutions in production. You will build scalable pipelines and GPU inference systems in cloud environments and collaborate with product managers, data scientists, and engineers to translate requirements into technical specs.

The role requires 10+ years in ML, 1–2 years in GenAI/NLP, strong Python and PyTorch/TensorFlow, and hands-on experience with AWS

Qualifications

• 10+ years of ML engineering experience, with 1–2 years in GenAI or NLP projects.
• Strong Python and ML framework proficiency (PyTorch or TensorFlow).
• Hands-on experience with LLMs (GPT-4, Llama), RAG architectures, LangChain, and vector databases.
• Experience on AWS cloud platforms (S3, Lambda, Glue, SageMaker, Bedrock).

Responsibilities

• GenAI development: architect, fine-tune, and deploy LLMs and GenAI techniques.
• Production deployment: build scalable ML pipelines and GPU inference systems in cloud environments (AWS/GCP/Azure).
• Collaboration: translate business requirements into technical specs with cross-functional teams.
• Stakeholder engagement: present AI methodologies and trade-offs to leadership.
• Model optimization: implement prompt engineering, adversarial testing, and optimization strategies.
• Stay updated: incorporate GenAI research into production systems.
• Team coordination: define scope and timelines, coordinate with offshore teams.

Skills

10+ yrs ML experience

GenAI/NLP experience

AWS cloud experience

Python programming

PyTorch/TensorFlow

LLMs like GPT-4/Llama

RAG/PEFT/SFT

Docker/Kubernetes

CI/CD for ML

LangChain/Vector DBs

Education

Engineering degree in CS or equivalent

Tools

Docker

Kubernetes

GitHub Copilot

Cursor

AWS Kiro

SageMaker

Bedrock

LangChain

Vector Databases

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Austin, TX seeks an ML engineer with Gen AI expertise to architect, fine-tune, and deploy LLM-based solutions in production. You will build scalable pipelines and GPU inference systems in cloud environments and collaborate with product managers, data scientists, and engineers to translate requirements into technical specs.

The role requires 10+ years in ML, 1–2 years in GenAI/NLP, strong Python and PyTorch/TensorFlow, and hands-on experience with AWS