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 semantic understanding & conversational AI.
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 / ML solutions.
What do you need to succeed?
Master’s or PhD degree in Mathematics, Statistics or Computer Science with a focus on AI / ML areas
2+ years of work experience in a data science and machine learning
Expert understanding of NLP tasks such as classification, NER, text generation, and topic modeling with practical experience using NLP libraries such as Gensim, SpaCy
Hands-on experience and expertise with different AI / ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
Solid experience in deploying production level AI models
Nice to Have
Experience with deep neural networks architectures in particular transformer models
Familiar with container-type environments : Docker, Openshift
3+ years of experience in advanced software engineering practices including Agile techniques
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.
We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Work in a dynamic, collaborative, progressive, and high-performing team
Flexible work / life balance options
Opportunities to take on progressively greater accountabilities
Opportunities to building close relationships with business partners
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com / careers .
City : Toronto
Address : 88 Queens Quay West
Work Hours / Week : 37.5
Work Environment : Office
Employment Type : Permanent
Career Level : Experienced Hire / Professional
Pay Type : Salary + Variable Bonus
Required Travel(%) : 0
Exempt / Non-Exempt : N / A
People Manager : No
Application Deadline : 06 / 25 / 2021
Platform : Technology and Operations
Ad Code(s) :