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Added 50 mins ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
…responsive support through our partnerships with SAP S/4Hana Cloud, SAP Business One, SAP Business ByDesign, Boomi, and Amazon Web Services to mid-market companies in a broad range of…
Added 1 hour ago
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Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
10+ years of overall experience in software engineering, cloud architecture, or data platforms.
Added 1 hour ago
Q
ML Architect
Quantiphi
Canada
- Full-time
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
Added 1 hour ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
…responsive support through our partnerships with SAP S/4Hana Cloud, SAP Business One, SAP Business ByDesign, Boomi, and Amazon Web Services to mid-market companies in a broad range of…
Added 1 hour ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 4 hours ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 4 hours ago
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Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 5 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
…strategic planning, execution, and governance of large-scale AI solution delivery programs across RBC's enterprise. You'll bring both technical credibility and program management expertise…
Added 10 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Integrate AI services with enterprise applications, workflows, identity controls, data platforms, and approved cloud environments.
Added 13 hours ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity,…
Added 14 hours ago
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Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data…
Added 14 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data…
Added 16 hours ago
C
Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
The Cybersecurity Solution Architect is responsible for designing secure, scalable, and resilient technology solutions that align with organizational security standards, enterprise…
Added 16 hours ago
M
Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront…
Added 18 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
…orchestration to Java/Spring Boot services, APIs, Kafka events, and data integration using REST API via Apigee. You will also be able to establish cloud infrastructure, development…
Added 20 hours ago
RB
Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Perform technical analysis and solution design; contribute to Jira story creation, estimation, and delivery
Added 20 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The organization is investing heavily in AI, agentic technologies, cloud platforms, and enterprise-scale solution architecture capabilities to support strategic business priorities.
Added 22 hours ago
S
AI Engineer
Stripe
Toronto, ON
- Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 22 hours ago
Software Engineer
Scotiabank
Toronto, ON
As a Software Engineer on Scotiabank’s Data & AI Technology team, you will be involved in designing, building, and scaling our enterprise data catalog and data management solutions…
Added 22 hours ago
SL
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
We are looking for a highly motivated, experienced and self-driven technical resource to serve as a Site Reliability Engineer / Release Management & Automation Specialist. This role…
Added 22 hours ago
PG
Forward-Deployed Software Engineer (AI Integration & Modernization)
Perseus Group
Toronto, ON
- Full-time
We are hiring a Forward-Deployed AI Engineer to own the design and delivery of production AI capabilities across a broad portfolio of Andromeda software businesses.
Added 22 hours ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 23 hours ago
E
Principal Application DevOps Engineer, AI & Automation
Entrust
Canada
- Full-time
The IFI Cloud Service includes a broad set of customer-facing services, application components, databases, integrations, and on-premises cloud infrastructure. The Principal Application…
Added 23 hours ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 23 hours ago
V
Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
At Valtech, we build digital experiences that help the world's leading brands connect with their customers through content, commerce, experimentation, data and AI.

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

Not detected in the job text

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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