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Added 6 mins ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 6 mins ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 6 mins ago
II
Software Engineer
Intouch Insight
Ottawa, ON
- Full-time
Clear written communication, whether in a ticket, a design note, a code review, or a prompt
Added 6 mins ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 23 mins ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including…
Added 37 mins ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job TitleQuality Engineer (QE) / SDET – AI Chatbot ValidationKey Roles & Responsibilities• Validate chatbot responses for accuracy, relevance, completeness, and consistency.• Create and…
Added 1 hour ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
Apply checklists and QA steps before senior engineer review
Added 2 hours ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 3 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring
Added 3 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
Added 3 hours ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 3 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 5 hours ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Familiarity with LLMs, AI APIs, prompt engineering, RAG, or AI-powered application development is a plus
Added 12 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 16 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 16 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 20 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Knowledge in AI literacy fundamentals and prompt engineering
Added 20 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine, and AI/ML layers and establish the engineering…
Added 21 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- Full-time
…the core of the product. As our first dedicated Trust Safety engineer, you'll own the systems that keep it that way as we…
Added 22 hours ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
LLM application development, structured outputs, prompt and tool calling, orchestration patterns
Added 1 day 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 1 day ago
SG
Senior Product Solutions Analyst
Scotia Global Asset Management
Toronto, ON
- Full-time
…enhancement of internal generative AI applications, including prompt engineering and design tailored for SGAM teams. The analyst will also collaborate with a range of third-party vendors to…
Added 1 day ago
A
Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Provide prompt response and engineering resolutions on any critical engineering related matters.
Added 1 day ago
R&
Staff Engineer / AI Builder
Robots & Pencils
Canada
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 1 day ago
D
AI Engineer – Agentic AI
DataPattern
Mississauga, ON
- Contract
We are looking for an experienced AI Engineer with strong expertise in Agentic AI, Generative AI, Microsoft AI technologies, RAG, and AI agent development.

Quantiphi

ML Architect

Canada

Full-time

Apply About employer

Applications open in a new tab.

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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