ML Engineer II: From Research to Production in AWS

Cambium Assessment; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Cambium Assessment is seeking a talented Machine Learning Engineer II to bridge applied research and production systems. This role requires designing and deploying machine learning solutions while leading full ML lifecycle development in a cross-functional environment.

The ideal candidate will have 2–5 years of experience, proficiency in AWS infrastructure, and strong programming skills in Python and other languages. Join Cambium in enhancing educational technology for all students.

Qualifications

• Experience in architecting and deploying models to production.
• Deep hands-on experience with the AWS ecosystem.
• Strong proficiency in modern programming languages used in ML.

Responsibilities

• Lead the transition of machine learning models into production systems.
• Architect and deploy ML solutions utilizing AWS ECS.
• Optimize PyTorch models for production deployment.

Skills

Machine Learning Engineering

AWS ECS

Python

PyTorch

Docker

Education

2–5 years of industry experience

Tools

AWS Lambda

Scikit-Learn

Terraform

Job description

Cambium Assessment is seeking a talented Machine Learning Engineer II to bridge applied research and production systems. This role requires designing and deploying machine learning solutions while leading full ML lifecycle development in a cross-functional environment.

The ideal candidate will have 2–5 years of experience, proficiency in AWS infrastructure, and strong programming skills in Python and other languages. Join Cambium in enhancing educational technology for all students.