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. ApplyBoard is a mission-driven, hyper-growth organization. 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 140 countries that we support.

The Role

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.

Responsibilities

• 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

Qualifications

• 5+ years of experience in software engineering or back-end engineering

• 3+ years of experience in productionizing machine learning (ML) systems

• In-depth understanding of researching, designing, developing, and deploying ML systems, models, and schemes

• Hands-on experience of deploying ML models/systems to AWS infrastructure

• 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

• Strong analytical skills

• 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

• Strong team-player and ability to work with individual contributors with different levels of experience

Ideally, you also have experience with many of:

• AWS Machine Learning Speciality Certificate

• Jenkins, CodeBuild, CDK, Helm Charts

• AWS API Gateway, CloudFront

• Data Pipeline, Docker, Kubernetes, New Relic

• Microservices, Kinesis, Kafka

About ApplyBoard

ApplyBoard empowers students around the world to access the best education by simplifying the study abroad search, application, and acceptance process to more than 1,750 institutions across Canada, the United States, the United Kingdom, Australia, and Ireland. Headquartered in Kitchener, Ontario, Canada, and with an additional operational office in Gurugram, India, ApplyBoard has helped more than 600,000 students from over 150 countries fulfill their study abroad dreams since 2015.

In 2022, Deloitte named ApplyBoard one of the fastest-growing technology companies in Canada for the fourth consecutive year, ranking #30 on the Deloitte Technology Fast 50 and #170 on the 2022 Deloitte Technology Fast 500 list. ApplyBoard ranked on LinkedIn’s 2022 Top Startups List in Canada in 2020, 2021, and 2022 and was recognized as CIX’s Innovator of the Year 2022 and the EY Entrepreneur of the Year 2022 Ontario Winner. In 2023, ApplyBoard India was Great Place to Work® Institute (India) certified for outstanding employee experience and workplace culture.

Thank you for your interest in joining ApplyBoard on our mission to Educate the World. Please note that only qualified applicants that have been selected for an interview will be contacted.

ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.