Machine Learning Engineer- Cloud Deployment

2 weeks ago

Kitchener, Ontario, Canada ApplyBoard Inc. Full time
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer

Apply locations Kitchener time type Full time posted on Posted 7 Days Ago job requisition id JR102351 ApplyBoard simplifies the study abroad search, application, and acceptance process by connecting international students, recruitment partners, and educational institutions on one intuitive and personalized platform.

It has been attracting dedicated individuals for more than eight years who are inspired every day to break down barriers to international education and take their careers to new heights at a company that will invest in their career growth.

Our six core values are our compass in our mission to Educate the World and the foundation of our unique company culture.

As an organization built on a foundation of diversity, it's important that our team members are representative of the students from more than 150 countries that we support.

As part of the ApplyBoard AI team, your mission is to help develop and productionize AI services and capabilities that help other teams to advance their services for students and recruitment partners.

You will be a senior member of a team that delivers AI capabilities to help other teams. As a Senior Machine Learning Engineer, you value collaboration and nurture innovation while working in an energetic team. Your strong foundation in productionizing machine learning models will be valuable in enabling a data-driven culture company-wide.

You are expected to work on continuous improvement of our best practices for AI services and ensuring that our models are accurate, reliable, and explainable.

Developing and productionizing new machine learning models
Building and documenting APIs
Improving the machine learning development & deployment pipeline
Maintaining existing machine learning models
Performing statistical analysis
ML Ops and collaboration with DevOps
Building internal demos and dashboards of our products to get feedback from different departments
5+ years of experience in software engineering or back-end engineering
3+ years of experience in productionizing machine learning (ML) systems
Familiarity with Amazon Bedrock and working with LLM services is an asset
Performing statistical analysis and using results to improve models
Training and retraining ML systems and models as needed
Experience with Python with specific focus on frameworks such as FastAPI and Flask as well as Libraries used in Natural Language Processing
Familiarity with ML frameworks and libraries
Experience of development and deployment with AWS SageMaker
Ability to communicate effectively with people who are both highly technical, and non-technical alike
Driven, passionate and creative, and thrives in a fast-paced environment
AWS Machine Learning Speciality Certificate
Data Pipeline, Docker, Kubernetes, New Relic

With more than 800,000 students from over 150 countries helped with their journey in less than a decade, we are just getting started.

ApplyBoard's 1,350 global team members in 30 countries assist students and our 1,500 partner institutions by empowering the international student sector with innovative technology and insights.

ApplyBoard India was Great Place to Work Institute (India) certified for outstanding employee experience and workplace culture.
ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates in all aspects of the hiring and selection process.
Help Us Educate the World We're building a movement - an education revolution.

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