Jobs in Canada

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Added 1 month ago
AS
Data Scientist
AgileGrid Solutions
Canada
- Full-time
…on cloud platforms like Azure (preferred), AWS, or GCP, and MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to diverse audiences, and…
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
…MR based projects across our portfolio. You are a passionate developer who translates complex scientific challenges into production-ready AI…
Added 1 month ago
L
Senior Manager, AI/ML Engineering
lululemon
Vancouver, BC
- Full-time
…engineering and AI/ML - engineers who go beyond platform and MLOps work to apply existing AI models and algorithms to specific business problems, setting up training pipelines, transforming…
Added 1 month ago
E
Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Understanding of MLOps concepts: experiment tracking, model versioning, reproducibility, CI/CD for ML, and model monitoring
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
Experience designing and implementing MLOps/LLMOps pipelines, including model deployment, monitoring, evaluation, versioning, and CI/CD.
Added 2 months ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
…MR based projects across our portfolio. You are a passionate developer who translates complex scientific challenges into production-ready AI…
Added 1 month ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
MLOps Automation (CI/CD, data validation, model deployment, monitoring, drift detection)
Added 2 months ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 1 month ago
TT
Senior HVAC Engineer
Trane Technologies
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Added 2 months ago
V
AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
Develop and maintain machine learning, data engineering, and MLOps pipelines supporting batch and real-time workloads.
Added 1 month ago
I
Sr Scrum Master, AI
isgSearch
Montreal, QC
- Full-time
Exposure to cloud technologies and a foundational understanding of MLOps concepts.
Added 2 months ago
AC
Intermediate Machine Learning Engineer
Aviva Canada
Markham, ON
- Full-time
Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.
Added 2 months ago
S
Python Full-Stack Developer with React & AI Experience
Synechron
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
We are seeking a talented Python Full-Stack Developer with React & AI Experience to join our growing team. In this role, you will be responsible for designing, developing, and maintaining…
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
K
Staff Software Engineer
kadence
Toronto, ON
- Full-time
Champion MLOps and LLMOps practices across the development lifecycle
Added 2 months ago
FR
Senior Director, Engineering - Innovation Tribe
Fitch Ratings
Toronto, ON
- Full-time
Added 2 months ago
S
AI Architect
SPECTRAFORCE
Toronto, ON · North York, ON
- Contract
Experience with version control, CI/CD, or MLOps practices.
Added 2 months ago
W&
Account Executive - Greenfield - Toronto
Weights & Biases
Toronto, ON
- Full-time
Background selling AI/ML, MLOps, LLMOps, or adjacent developer tooling alongside infrastructure products
Added 2 months ago
ST
PYTHON DEVELOPER - GENAI / AI
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions.

Quantiphi

Architect - Machine Learning

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 14, 2026

Original job description

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies - we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work - reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Job Description:

Required Skills:

8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Strong experience designing and implementing enterprise-scale AI/ML architectures.
3+ years of hands-on experience with Generative AI, LLMs, and production AI applications.
Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, vector databases, semantic/hybrid search, and knowledge retrieval.
Hands-on experience with Agentic AI, AI agents, tool/function calling, orchestration, and multi-agent workflows.
Strong proficiency in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Experience with LLM platforms/models such as Azure OpenAI, OpenAI, AWS Bedrock, Anthropic, Google Gemini, Llama, or equivalent.
Strong knowledge of prompt engineering, context engineering, fine-tuning, model evaluation, guardrails, and hallucination mitigation.
Experience designing and implementing MLOps/LLMOps pipelines, including model deployment, monitoring, evaluation, versioning, and CI/CD.
Strong experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP.
Experience with cloud AI/ML services such as Azure Machine Learning, Azure AI Foundry, AWS SageMaker/Bedrock, or Google Vertex AI.
Experience with Docker, Kubernetes, APIs, microservices, CI/CD, and Infrastructure as Code.
Strong understanding of data pipelines, data lakes/lakehouses, databases, data governance, and enterprise integration.
Experience with AI/ML security, privacy, Responsible AI, governance, and compliance.
Strong system-design and architecture skills, with the ability to translate business requirements into scalable technical solutions.
Excellent communication, presentation, stakeholder-management, and technical leadership skills.

Key Responsibilities:

Design end-to-end enterprise AI/ML architectures from data ingestion through model development, deployment, inference, monitoring, and optimization.
Lead the architecture and implementation of Generative AI and LLM-based solutions across enterprise use cases.
Design scalable RAG architectures, including document ingestion, chunking, embeddings, vector search, retrieval, reranking, and LLM generation.
Architect and implement Agentic AI solutions, including AI agents, tool calling, workflow orchestration, memory, and human-in-the-loop capabilities.
Evaluate and recommend LLMs, AI platforms, frameworks, and technologies based on performance, scalability, security, latency, and cost.
Define architecture standards and reusable patterns for GenAI, ML, MLOps, and LLMOps.
Lead the transition of AI/ML POCs and prototypes into production-grade solutions.
Design and implement MLOps/LLMOps capabilities for model lifecycle management, deployment, monitoring, evaluation, and continuous improvement.
Establish LLM evaluation and observability frameworks covering accuracy, relevance, hallucination, latency, token usage, cost, and reliability.
Work closely with Data Scientists, ML Engineers, Software Engineers, Data Engineers, Product Managers, Security teams, and business stakeholders.
Provide technical leadership and mentorship to AI/ML engineering teams.
Ensure AI solutions meet enterprise requirements for security, privacy, governance, Responsible AI, and regulatory compliance.
Identify opportunities to improve existing AI/ML platforms and optimize performance, scalability, and cloud costs.
Create architecture diagrams, technical specifications, design documents, standards, and implementation roadmaps.
Stay current with emerging GenAI, LLM, Agentic AI, ML, and cloud technologies and assess their applicability to business needs.

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More about this job

Responsibilities

Design and implement end-to-end enterprise AI/ML architectures, focusing on Generative AI, RAG, and Agentic AI solutions. Lead the transition of prototypes into production-grade solutions while establishing evaluation and observability frameworks.

Requirements

Requires 8+ years of experience in AI/ML or Software Engineering, with at least 3 years specifically in Generative AI and LLMs. Proficiency in Python, major cloud platforms (Azure, AWS, or GCP), and MLOps pipelines is essential.

Skills

Machine Learning
Generative AI
LLMs
RAG
Agentic AI
Python
PyTorch
TensorFlow
MLOps
LLMOps
Azure OpenAI
AWS Bedrock
Google Vertex AI
Docker
Kubernetes
System Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
RAG
Vector Databases
Agentic AI
Python
PyTorch
TensorFlow
Hugging Face
Azure OpenAI
AWS Bedrock
Google Gemini
Llama
MLOps
LLMOps
CI/CD
Docker
Kubernetes
Microservices
Infrastructure as Code
Data Lakes
Responsible AI
System Design
Cloud Computing
Azure
AWS
GCP
Vertex AI

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Jobs in Canada