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2,270

Ui Ux Designer jobs in Canada

GEN AI/ML Developer - Mississauga

Photon

Canada
On-site
CAD 100,000 - 140,000
8 days ago
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Manufacturing Applications Engineer: Shape Next-Gen Automation

ArcelorMittal

Hamilton
On-site
CAD 80,000 - 100,000
8 days ago

Manufacturing Applications Engineer

ArcelorMittal

Hamilton
On-site
CAD 80,000 - 100,000
8 days ago

Graduate Transition Initiative – Software Developer

Verafin

Newfoundland and Labrador
On-site
CAD 50,000 - 70,000
8 days ago

Senior Frontend Engineer – React + AI Tooling Leader

CSC Generation

Canada
Remote
CAD 100,000 - 130,000
8 days ago
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Senior Front End Engineer

CSC Generation

Canada
Remote
CAD 100,000 - 130,000
8 days ago

Senior Software Application Developer

Fortinet, Inc.

Burnaby
On-site
CAD 80,000 - 125,000
8 days ago

Frontend Engineer

LayerZero Labs

Vancouver
On-site
CAD 80,000 - 100,000
8 days ago
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Sr. Software Developer - Virtualization and SIL Integration

General Motors

Markham
Hybrid
CAD 100,000 - 120,000
8 days ago

Senior Software Engineer

Veem

Toronto
On-site
CAD 85,000 - 115,000
8 days ago

Graphic Designer

FASTSIGNS #512501

British Columbia
On-site
CAD 60,000 - 80,000
8 days ago

Senior Software Engineer, Frontend - Risk Platform

Bison Trails

Canada
On-site
CAD 150,000 - 191,000
8 days ago

Senior Frontend Engineer - React/Typescript for Crypto Platform

Bison Trails

Canada
On-site
CAD 150,000 - 191,000
8 days ago

Intermediate FullStack Developer (Node.js)

Evolvic Inc.

Canada
Remote
CAD 58,000 - 136,000
8 days ago

Staff Linux Networking Software Engineer

Fortinet, Inc.

Burnaby
On-site
CAD 165,000 - 207,000
8 days ago

graphic designer

We Must

Hamilton
On-site
CAD 60,000 - 80,000
8 days ago

Software Engineer II, Backend (Identity Decisioning)

Affirm

Canada
Remote
CAD 125,000 - 175,000
8 days ago

Remote Full-Stack Developer (Node.js & React)

Evolvic Inc.

Canada
Remote
CAD 58,000 - 136,000
8 days ago

Hybrid Full-Stack Developer - AWS, React & Python

DIST COMMERCE INC.

Toronto
Hybrid
CAD 55,000 - 65,000
8 days ago

full stack developer

DIST COMMERCE INC.

Toronto
Hybrid
CAD 55,000 - 65,000
8 days ago

Graphic Designer - Signage & Vinyl Printing

FASTSIGNS #512501

British Columbia
On-site
CAD 60,000 - 80,000
8 days ago

Senior Software Developer

Fortinet, Inc.

Burnaby
On-site
CAD 110,000 - 150,000
8 days ago

Finance Data Architect: Transformation & Analytics (Contract)

Definity

Mississauga
Hybrid
CAD 76,000 - 127,000
8 days ago

Graphic Designer & Sign Production Specialist

FASTSIGNS #513001

Brampton
On-site
CAD 45,000 - 65,000
8 days ago

Senior Automotive Infotainment Software Engineer

Qualcomm

Markham
On-site
CAD 80,000 - 100,000
8 days ago

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GEN AI/ML Developer - Mississauga
Photon
Canada
On-site
CAD 100,000 - 140,000
Full time
8 days ago

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

Machine learning
Deep learning
Python
TensorFlow
PyTorch
Natural language processing (NLP)
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Neural network architectures
Job description
Key Responsibilities
  • 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.
Required Skills and 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 (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.
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* 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.

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