Senior Machine Learning Engineer

1 week ago


Kitchener, Ontario, Canada ApplyBoard Full time
About ApplyBoard

ApplyBoard is a leading education technology company that simplifies the study abroad search, application, and acceptance process for international students. With a mission to educate the world, we connect students, recruitment partners, and educational institutions on a personalized platform.

Job Summary

We are seeking a Senior Machine Learning Engineer to join our AI team. As a key member of our team, you will be responsible for developing and productionizing AI services and capabilities that help other teams advance their services for students and recruitment partners.

Key Responsibilities
  • Develop and productionize new machine learning models
  • Build and document APIs
  • Improve the machine learning development and deployment pipeline
  • Maintain existing machine learning models
  • Perform statistical analysis
  • Collaborate with DevOps on ML Ops
  • Build internal demos and dashboards of our products to gather feedback from different departments
Requirements
  • 5+ years of experience in software engineering or back-end engineering
  • 3+ years of experience in productionizing machine learning systems
  • Familiarity with Amazon Bedrock and working with LLM services is an asset
  • Experience with Python, specifically with frameworks like FastAPI and Flask, and libraries used in Natural Language Processing
  • Familiarity with ML frameworks and libraries
  • Experience with development and deployment on AWS SageMaker
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Driven, passionate, and creative, with a strong work ethic
  • AWS Machine Learning Specialty Certificate
  • Data Pipeline, Docker, Kubernetes, New Relic
About Us

ApplyBoard has helped over 800,000 students from more than 150 countries with their journey in less than a decade. Our 1,350 global team members in 30 countries empower the international student sector with innovative technology and insights. We welcome and encourage applications from people with disabilities and offer accommodations upon request for candidates in all aspects of the hiring and selection process.



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