Jobs in Canada

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Added 1 min ago
SL
Graphics Engineer | Minecraft
SkyBox Labs
Burnaby, BC
- Full-time
Added 1 min ago
S
Principal Architect - FSM Data Access & API Platform
SIMPRO
Montreal, QC
- Full-time
Added 1 min ago
S
Platform Architect - AI Platform
SIMPRO
Montreal, QC
- Full-time
…The Platform Engineer will select appropriate hardware and software components, configure the networking and storage resources and create security…
Added 1 min ago
Solutions Analyst, Support
Teifi Digital
Vancouver, BC
Added 1 min ago
IF
Intern – Developer
iA Financial Group
Quebec, QC
- Full-time
…feel confident and secure about their future? As an Intern – Developer, you will play a key role in validating concepts, creating prototypes, and experimenting with new approaches that will…
Added 1 min ago
S
Parts & Services Sales Representative
Sandvik
Calgary, AB · Leduc, AB · Prince George, BC · Surrey, BC · Vancouver, BC · BC · Winnipeg, MB · Barwick, ON · Red Lake, ON · Saskatoon, SK · British Columbia
- Full-time
Added 1 min ago
PF
Data Engineer 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Added 6 mins ago
LC
Software engineer
LotusFlare Canada Inc
North York, ON
- From $69.17 CAD / hour
- Full-time
- On-site
Added 15 mins ago
AI
GIS Senior Functional Support – Mapping
Aptino, Inc.
AB · Alberta, Canada
- Contract
Added 15 mins ago
HH
HVAC Sales Representative
Hammer's Heating & Cooling
Pitt Meadows, BC
- $41,600 to $140,000 CAD / year
- Full-time
Added 15 mins ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
Test Engineering Technologist
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
Internal Auditor (Business Control & IT)
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
CNC Programmer
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
VC
Transition Services Coordinator (Registered Nurse) - Nursing
Vancouver Coastal Health
Vancouver, BC
- Full-time
Added 15 mins ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
HT
Designer, Development (Mechanical)
Husky Technologies
Bolton, ON
- Full-time
Added 15 mins ago
F
Android Developer
FORM
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Added 15 mins ago
IG
Power Platform Developer
Insight Global
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Insight Global is looking for a Senior Power Platform Developer to join an application development team focused on building digital solutions, applications, and automations that support…
Added 15 mins ago
ND
JAVA Full Stack Developer
NTT DATA North America
Montreal, QC
- Full-time
Minimum 7+ years of hands-on experience in software development with strong expertise in enterprise Java applications.
Added 15 mins ago
CU
Sessional Instructor - Education
Concordia University of Edmonton
AB · Edmonton, AB
- Temporary
Added 15 mins ago
ZC
Full Stack Developer (Java/JavaScript)
Ztek Consulting
Montreal, QC
- $115,000 to $120,000 CAD / year
- Full-time
We are seeking an experienced Full Stack Developer (Java/JavaScript) to join the Risk and Information Management team supporting Non-Financial Risk Management applications. The ideal…

Quantiphi

ML Architect

Canada

Full-time

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Job details

Job type: Full-time
Experience: 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
Posting language: English
Posted: Oct 8, 2026

Original job description

What you will do:

As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Basic Qualifications (BQ):

8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
Good Experience developing applications using LLMs with Langchain.
Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock.
Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch.
Strong familiarity with higher-level trends in LLMs and open-source platforms.
Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models
Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
Implement and manage MLOps principles and best practices for Gen AI models
Thorough understanding of NLP techniques for text representation and modeling
Able to effectively design software architecture as required
Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

What is in it for you:

Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

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More about this job

Responsibilities

Design, develop, optimize, and deploy machine learning models and generative AI solutions on AWS, including end-to-end architectures for training, inference, and retraining. Apply prompt engineering, model evaluation, and MLOps practices while collaborating with cross-functional teams to deliver reliable, scalable solutions.

Requirements

Requires 8+ years of hands-on experience implementing cloud machine learning solutions on AWS, including SageMaker, and practical experience with LLMs, generative AI frameworks, Llama 2 fine-tuning, and RAG with vector indexing. Candidates should also have knowledge of deep learning, NLP, machine learning methods, workflow orchestration, software architecture, and cross-functional collaboration.

Skills

AWS Machine Learning
Amazon SageMaker
Large Language Models
Generative AI
LangChain
AWS Bedrock
Vertex AI
OpenAI
LLM Fine-Tuning
Retrieval-Augmented Generation
OpenSearch
Elasticsearch
MLOps
Natural Language Processing
Deep Learning
Workflow Orchestration

Visa sponsorship

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Keywords

AWS
Amazon SageMaker
AWS Lambda
AWS Bedrock
Vertex AI
OpenAI
LangChain
Large Language Models
Generative AI
Llama 2
Retrieval-Augmented Generation
OpenSearch
Elasticsearch
MLOps
Natural Language Processing
Deep Learning
Transformers
BERT
Attention Models
Prompt Engineering
Model Evaluation
Few-Shot Learning
Supervised Learning
Unsupervised Learning
Airflow
Step Functions
SageMaker Pipelines
Kubeflow
Model Training
Real-Time Inference

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