ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

A rapidly growing AI startup seeks a Machine Learning Engineer to design, build, and deploy production-grade ML systems. The role involves working with audio data to derive insights and enhance customer interactions. Candidates should possess a degree in Computer Science and experience in ML engineering, preferably with frameworks like PyTorch or TensorFlow. Excellent communication skills and collaboration with teams are vital. Opportunity to work in a dynamic environment focused on innovative AI solutions.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure.
• Experience building and deploying ML models into production.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect AI-powered solutions enabling natural speech interaction.
• Develop and optimize ML models focused on audio data.
• Collaborate with cross-functional teams for innovation in AI projects.

Skills

Python programming

Machine Learning engineering

Communication skills

Experience with PyTorch

Experience with TensorFlow

Data pipeline design

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS

FastAPI

PostgreSQL

Redis

Job description

A rapidly growing AI startup seeks a Machine Learning Engineer to design, build, and deploy production-grade ML systems. The role involves working with audio data to derive insights and enhance customer interactions. Candidates should possess a degree in Computer Science and experience in ML engineering, preferably with frameworks like PyTorch or TensorFlow. Excellent communication skills and collaboration with teams are vital. Opportunity to work in a dynamic environment focused on innovative AI solutions.