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Artificial Intelligence jobs in Canada
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Producteur.trice sénior, jeux Core/Senior Producer
2K
Montreal
On-site
CAD 128,000 - 160,000
30+ days ago
Ecosystem Growth Specialist (Streaming API) (Remote)
Covalent
Burnaby
Hybrid
CAD 30,000 - 60,000
30+ days ago
Discover more opportunities than anywhere else. Find more jobs nowSenior Customer Identity and Access Management Engineer
Aviva
Markham
Hybrid
CAD 85,000 - 115,000
30+ days ago
AI Project Leader: Data & Transformation
Vantix Systems Inc.
Edmonton
On-site
CAD 80,000 - 110,000
30+ days ago
Connect with headhunters to apply for similar jobsSenior Software Engineer, Blockchain Platform (Staking Validators)
P2P
Canada
On-site
CAD 191,000
30+ days ago
OPEN: SAP BTP Architect
Cpus Engineering Staffing Solutions Inc.
Toronto
Hybrid
CAD 120,000 - 150,000
30+ days ago
Gestionnaire des Finances - Finance Manager
Valsoft Corporation
Montreal
On-site
CAD 80,000 - 100,000
30+ days ago
Bauer/ Cascade Maverik: Data Engineer
Bauer Hockey/ Cascade Maverik Lacrosse
Mississauga
Hybrid
CAD 80,000 - 100,000
30+ days ago
People Consulting - Workforce Advisory - Financial Services - Senior Manager - Toronto
EY
Toronto
On-site
CAD 90,000 - 130,000
30+ days ago
Algorithm Engineer, AI
Comm100
Vancouver
On-site
CAD 80,000 - 100,000
Full time
30+ days ago
Job summary
A leading digital customer engagement platform in Vancouver is seeking an Algorithm Engineer in AI to research and develop cutting-edge AI capabilities. The role requires strong proficiency in Python and experience in generative AI technologies. Applicants should have a degree in a relevant field and at least 2 years of experience in AI/ML engineering. This position is fully on-site and offers various health and wellness benefits.
Benefits
Health & Dental Benefits
RRSP Matching Program
Health & Wellness Fund
New office with full gym
Training and Development Fund
Qualifications
- 2+ years of experience in AI/ML engineering.
- Strong focus on generative AI technologies and prompt engineering.
- Knowledge of advanced machine learning techniques.
Responsibilities
- Research key capabilities leading to AGI.
- Engage in AI Assistant data construction and LLM pre-training.
- Develop robust AI features using generative AI frameworks.
Skills
Proficiency in Python
Generative AI technologies
Strong analytical and problem-solving skills
Excellent communication skills
Education
Bachelor’s degree or above in Computer Science, Mathematics, Statistics
Tools
TensorFlow
PyTorch
Pandas
Job description
Algorithm Engineer, AI
Who We Are
Comm100 is an award-winning digital customer engagement platform, enabling organizations to better engage, convert and support their customers online. Established in 2009, Comm100 serves over 10,000 clients globally including HP, Rackspace, Government of Canada, Google, Stanford University, and many more. We believe that our work is never done as long as there are customers in a queue. We don’t sleep until we find the smartest, most efficient way to communicate, answer questions, and solve problems.
What We Believe
At Comm100, we strongly believe that the success of a company depends entirely on its people. We seek self-motivated team players who will appreciate a performance-driven work environment, rooted in creativity, personal development, integrity and open communication. We work hard but always make time for fun.
What We Offer
- Health & Dental Benefits
- RRSP Matching Program
- Health & Wellness Fund
- New office with full gym, massage chairs, and bike storage
- Training and Development Fund
- Quarterly team-building events
About the Role
Job Responsibilities:
- Research key capabilities leading to AGI, track the latest academic and industry research achievements in LLM, and bring new technical ideas and methods to the business.
- Leverage generative AI Agentic frameworks (e.g., Llama-Index, AutoGen, Semantic Kernel, Langchain), workflow frameworks (e.g, Langgraph), and trace logging (eg. Langsmith, wandb, phoenix) to develop robust AI features.
- Deeply engage in key tasks such as AI Assistant data construction, LLM pre-training, fine-tuning, algorithm optimization, and model deployment.
- Research key technologies for the implementation of LLM such as RAG and Agent, explore a new generation AI Assistant architecture based on LLM, and continuously enhance AI Assistant question-answering effectiveness and user experience.
- Writing clean, high-quality, high-performance, maintainable, and thoroughly tested code to ensure Algorithm reliability and maintainability.
- Work closely with cross-regional engineering teams to facilitate communication and collaboration.
- Engage in direct communication with customers and business stakeholders to propose technical solutions and address product issues.
Job Requirements:
- Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence, Machine Learning or software engineering.
- 2+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
- Proficiency in Python, TensorFlow or PyTorch, Knowledge of advanced machine learning techniques, such as deep learning, reinforcement learning, and unsupervised learning.
- Experience with data preprocessing (Pandas), feature engineering (datasets, PyTorch), model training (sklearn, transformers, LoRA, DPO), model deploying (vLLM, DeepSpeed, TensorRT).
- Strong analytical and problem-solving skills with a keen interest in pushing the boundaries of AI and machine learning.
- Excellent communication skills and the ability to work effectively in a team environment.
Location: This position is a fully on-site role.
We sincerely thank all applicants for their interest; however, only shortlisted candidates will be contacted. Applicants must be eligible to work in Canada.
* 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.