ML Engineer II: Production-Scale AI on AWS

Cambium Learning Group; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Cambium Learning Group is seeking a Machine Learning Engineer II to join the CAI machine learning team. This role involves leading the transition of ML models from prototypes into scalable production systems while utilizing AWS ECS and Lambda for deployment.

The ideal candidate should have 2–5 years of experience in Machine Learning Engineering and be proficient in Python and C++. They will optimize models for performance and engage in cross-functional collaboration to develop tailored solutions.

Qualifications

• 2–5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science.
• Deep, hands-on experience with the AWS ecosystem including ECS and Lambda.
• Strong proficiency in Python, C++, and Java.

Responsibilities

• Lead the transition of machine learning models into scalable production systems.
• Architect and deploy ML solutions utilizing AWS ECS and Lambda.
• Optimize PyTorch models for production deployment by converting them to ONNX formats.

Skills

Machine Learning Engineering

AWS ECS

PyTorch

C++

Python

Tools

Docker

ONNX

Terraform

AWS Lambda

Job description

Cambium Learning Group is seeking a Machine Learning Engineer II to join the CAI machine learning team. This role involves leading the transition of ML models from prototypes into scalable production systems while utilizing AWS ECS and Lambda for deployment.

The ideal candidate should have 2–5 years of experience in Machine Learning Engineering and be proficient in Python and C++. They will optimize models for performance and engage in cross-functional collaboration to develop tailored solutions.