Remote AI/ML Engineer — Build & Deploy Scalable Models

Techhorizontx; Austin (TX); Remote; USD 130,000 - 170,000; Full time

Benefits offered by this job

Highly competitive salary and equity

Premium health, dental, and vision coverage

Learning and development stipend ($3,000/year)

Flexible PTO and sabbatical options

Top-tier equipment and tools

Innovation time (20% for personal projects)

Job summary

A leading technology firm in Austin, TX, is looking for an AI/ML Engineer to develop and deploy machine learning models that drive business value. The ideal candidate will have over 4 years of experience in machine learning engineering, strong programming skills, and the ability to work with cloud ML services. This role offers a highly competitive salary, premium benefits, and a fully remote work option.

Qualifications

• 4+ years of experience in machine learning engineering.
• Strong programming skills in Python, R, or Scala.
• Understanding of MLOps and model deployment practices.

Responsibilities

• Design and develop machine learning models and algorithms.
• Implement MLOps pipelines for model deployment and monitoring.
• Collaborate with data scientists on research and development.

Skills

Machine Learning Engineering

Python

MLOps

Data Processing

Mathematics

Education

Advanced degree in Computer Science, Statistics, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Azure ML

GCP AI

Job description

A leading technology firm in Austin, TX, is looking for an AI/ML Engineer to develop and deploy machine learning models that drive business value. The ideal candidate will have over 4 years of experience in machine learning engineering, strong programming skills, and the ability to work with cloud ML services. This role offers a highly competitive salary, premium benefits, and a fully remote work option.