Machine Learning Software Engineer II

Responsibilities

• Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems
• Architect and deploy ML solutions utilizing AWS ECS and AWS Lambda
• Optimize PyTorch models for production deployment using ONNX formats and advanced inference techniques
• Establish reliable CI/CD pipelines and ensure robust deployments across the AWS ecosystem
• Design and evaluate algorithms that generate insights from structured and unstructured data
• Write clean, efficient, and well-tested code with rigorous testing and documentation
• Collaborate with mathematicians, computer scientists, and statisticians to build tailored scoring solutions

Requirements

• 2–5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science
• Proven track record of architecting and deploying models to production
• Hands-on experience with AWS ECS and AWS Lambda
• Proficiency in Python, C++, or Java
• Experience with Docker and event-driven architectures
• Hands-on experience with PyTorch, Scikit-Learn, or TensorFlow
• Understanding of model optimization including ONNX Runtime and Flash Attention
• Experience with large-scale computing frameworks and relational/non-relational databases

Preferred Qualifications

• Experience with AWS SageMaker for managed model training and hosting
• Expertise in LLMOps including LoRA and qLoRA fine-tuning methods
• Experience building autonomous AI agents to automate workflows
• Deep learning expertise in Natural Language Processing (NLP)
• Experience implementing Infrastructure as Code (IaC) using Terraform or CloudFormation
• Ability to set up model monitoring systems for data and concept drift detection

About the Company

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction.