Our client, a fast-growing leader in innovative technology, is hiring a remote Natural Language Processing (NLP)/Understanding Applied Scientist in Vancouver, BC! This position will research and propose appropriate models/techniques to enhance our client's Document Intelligence capabilities by training and implementing models, leveraging classical machine learning methods and deep learning when appropriate.
Perks You'll Love
- Join a supportive team that values diversity with abundant growth & development opportunities
- Generous compensation including a base salary and comprehensive benefits package
- Enjoy a flexible remote WFH policy from any of their company headquarters, located in global cities including Toronto, New York, London, Los Angeles and more
What You'll Be Doing
- Research and propose appropriate models/techniques to enhance our Document Intelligence capabilities by training and implementing models, leveraging classical machine learning methods and deep learning when appropriate.
- Work with product owners, engineers, and domain experts to understand detailed requirements and own your code from design to implementation, testing and delivery.
- Engage daily in team meetings and discussions with a team of like-minded developers, linguists, domain experts, product managers and quality engineers to produce quality AI-driven solutions.
- Assist in assessing and analyzing business strategy & requirements, working on breaking down, scoping and estimating tasks.
Experience & Skills You're Bringing
- 5 years of experience with classical machine learning and deep learning algorithms, with a focus on encoder-decoder and transformer-based architectures.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Engineering or related discipline.
- Hands-on experience coding with Python or other established scripting languages and tools for machine learning, deep learning, and NLP.
- Experience with topics such as data preparation & cleaning, feature engineering, interactive machine learning, and other classical machine learning techniques for classification and NLP/NLU.
- Experience with AI models/product life cycle and their different stages.
- Understanding of service-oriented architectures, microservices concepts and design patterns, cloud-native solutions and best practices.
- Experience with version control systems like Git.
- Enthusiastic about staying up to date with AI literature and state-of-the-art techniques in your field.
- Experience working in a fast-paced environment using Agile methodologies for developing software
We Are An Equal Opportunity Employer
All qualified applicants will receive equal consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Canadian Work Authorization
All applicants MUST be authorized to work in Canada. Any applicants not meeting this criteria will not be notified and will not be considered eligible for the position.
Skills:
Agile Programming Methodologies, Algorithms, Artificial Intelligence (AI), Best Practices, Business Analysis, Business Strategy, Cloud Computing, Computer Science, Data Cleaning, Deep Learning, Design Patterns Programming Methodologies, Develop Methodologies, Diversity, Git, Linguistics, Machine Learning, Machine Tool, Microservices, Natural Language Processing (NLP), Product Engineering, Product Lifecycle, Python Programming/Scripting Language, Quality Engineering, Scripting (Scripting Languages), Service-Oriented Architecture (fka Distributed Object Architecture), Software Development, Source Code/Configuration Management (SCM), Strategic Analysis, Testing
About the Company:
The Tal Group
Location: Vancouver, BC
Posted: Oct. 10, 2024, 7:32 p.m.
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