Senior Machine Learning Engineer

GiveCampus

United States
On-site
Productionizing ml models
Aws sagemaker
Docker containerization
This is GiveCampus's first ML Engineer position, and you will be instrumental in defining the direction of our ML Platform

Job Summary

  • This is GiveCampus's first ML Engineer position, and you will be instrumental in defining the direction of our ML Platform.
  • You will be responsible for the full journey from prototype handoff through deployment, monitoring, and ongoing maintenance.
  • Build reusable templates, libraries, and tooling that accelerate future model deployments and create self-service capabilities for Data Science.

Matching Summary

This is GiveCampus's first ML Engineer position, and you will be instrumental in defining the direction of our ML Platform.

Skills & Requirements

Must-have

  • Productionizing ML models
  • AWS SageMaker
  • Docker containerization
  • Automated training pipelines
  • Model performance monitoring
  • Python production code quality

Nice-to-have

  • Infrastructure as Code
  • LLMs and RAG architectures
  • B2B SaaS or EdTech background
  • Self-service ML capabilities

Key Requirements

  • 5+ years software engineering
  • 3+ years ML systems experience
  • AWS fundamentals
  • Docker proficiency
  • ML concepts understanding
  • Data pipeline experience

Work Rights

Not specified

Tailored Resume

Cover Letter