Job Description

What is the opportunity?

As a data scientist in the NLP space you are part of a team responsible for developing RBC’s NLP platform supporting a variety of projects. You will be part of the innovation and technology team at RBC, working on building technology components that RBC developers and businesses leverage to deliver business value. You will be working on projects using latest advancements in Natural Language Processing (NLP) to enable adoption and reuse across the enterprise. The position will involve research in a practical setting while building production systems and models.

We want vocal futurists that can advocate their vision, who will be excited about creative problem-solving as part of a cross-functional team; will obsess over writing smart, simple clean code; will tirelessly strive to deliver the best solution supporting the user experience and will have the drive and desire to keep learning the latest.

What will you do?

• Work with modern open source and vendor packages to support use cases in conversational AI & document processing.

• Own the end-to-end cycle from understating the business problem, data discovery and extraction, model development and evaluation, to production deployment.

• Stay up to date with latest research and apply it in practical settings to define strategy and deliver business value.

• Perform code reviews and ensure a high level of code quality.

• Provide technical mentorship within the organization to streamline adoption of NLP components.

• Keep developer experience in mind when building tools and services for others to use.

• Work in a cross-functional, collaborative team aimed at delivering high-value, high quality, and scalable NLP solutions.

What do you need to succeed?

Must-have

• 2+ years of work experience in a data science and machine learning

• Expert understanding of NLP tasks such as classification, NER, text summarization, and topic modeling

• Solid experience in deploying production level AI models

• Experience working in Agile teams

• Strong programming skills, understanding of DevOps practices, design patterns and a foundational understanding of security, networks, and architecture

• Experience developing and consuming Webs Services/Rest APIs in a secure fashion

Nice to Have

• Experience with deep neural networks architectures in particular transformer models

• Master’s or PhD degree in Mathematics, Statistics or Computer Science with a focus on AI/ML areas

• Familiar with container-type environments: Docker, Openshift

• Fluency in JavaScript

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.