Ui Ux Designer jobs in Canada
Manufacturing Applications Engineer: Shape Next-Gen Automation
ArcelorMittal
Graduate Transition Initiative – Software Developer
Verafin
Senior Frontend Engineer – React + AI Tooling Leader
CSC Generation
Discover more opportunities than anywhere else. Find more jobs now
Connect with headhunters to apply for similar jobsSr. Software Developer - Virtualization and SIL Integration
General Motors
Senior Software Engineer, Frontend - Risk Platform
Bison Trails
Senior Frontend Engineer - React/Typescript for Crypto Platform
Bison Trails
Software Engineer II, Backend (Identity Decisioning)
Affirm
Hybrid Full-Stack Developer - AWS, React & Python
DIST COMMERCE INC.
Graphic Designer - Signage & Vinyl Printing
FASTSIGNS #512501
Finance Data Architect: Transformation & Analytics (Contract)
Definity
GEN AI/ML Developer - Mississauga
Job summary
A leading technology company in Canada seeks an experienced professional to develop algorithms for generative models utilizing deep learning. The role involves collaboration with teams to integrate AI solutions, staying abreast of advancements, and ensuring model performance through fine-tuning. Candidates should possess over 6 years of experience in machine learning, proficiency in Python, and familiarity with generative AI techniques. The position promises a dynamic environment with opportunities for impact.
Qualifications
- 6+ years of strong background in machine learning and deep learning algorithms.
- Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
- Familiarity with natural language processing (NLP) techniques and transformer models.
- Hands-on experience with prompt structures and fine-tuning model outputs.
- Experience with generative AI techniques.
Responsibilities
- Design and develop algorithms for generative models using deep learning techniques.
- Work with cross-functional teams to integrate generative AI solutions.
- Stay updated on advancements in generative AI technologies.
- Fine-tune models for performance and efficiency.
- Address and resolve issues related to generative AI models.
- Create and maintain comprehensive documentation.
Skills
- Model Development: Design and develop algorithms for generative models using deep learning techniques.
- Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems.
- Research: Stay updated on the latest advancements in generative AI technologies and methodologies.
- Optimization: Fine-tune models for performance and efficiency.
- Troubleshooting: Address and resolve issues related to generative AI models and implementations.
- Documentation: Create and maintain comprehensive documentation for AI models and their applications.
- Communication: Explain complex technical concepts to non-technical stakeholders.
- 6+ years of strong background in machine learning and deep learning algorithms.
- Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
- Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT).
- Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations.
- Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- Skills in data preprocessing and feature engineering for AI model training.
- Strong understanding of neural network architectures and optimization techniques.
- Experience in deploying AI models into production environments.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.