ML Engineer: Real-Time Audio & Production ML

Catalyst Labs; Town of Texas (WI); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading AI technology firm is seeking an ML Engineer in the United States to design and deploy production-grade machine learning systems that leverage cutting-edge technology. Responsibilities include collaborating with cross-functional teams to improve AI systems and ensuring full lifecycle management of ML models. Candidates should have a degree in computer science or a related field, with programming expertise in Python and experience with frameworks like PyTorch. This is a full-time role with a focus on audio data and real-time solutions.

Qualifications

• 1–6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• Strong understanding of data pipeline design and model monitoring.

Responsibilities

• Design and deploy production-grade ML systems.
• Collaborate with cross-functional teams for AI stack improvements.
• Handle the entire AI lifecycle including model training and monitoring.

Skills

Python

Machine Learning

Data Pipeline Design

AI-powered Solutions

Excellent Communication Skills

Education

Bachelor’s or Master’s degree in Computer Science

Machine Learning or Artificial Intelligence

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A leading AI technology firm is seeking an ML Engineer in the United States to design and deploy production-grade machine learning systems that leverage cutting-edge technology. Responsibilities include collaborating with cross-functional teams to improve AI systems and ensuring full lifecycle management of ML models. Candidates should have a degree in computer science or a related field, with programming expertise in Python and experience with frameworks like PyTorch. This is a full-time role with a focus on audio data and real-time solutions.