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Added 14 mins ago
Principal Enterprise Account Manager, Financial Services (Banking)
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Toronto, ON
Create & articulate compelling value propositions around AWS services
Added 28 mins ago
S
Directeur(trice), ventes et développement des affaires – Multisectoriel / Director, Sales & Business Development – Multisector
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Montreal, QC
- Full-time
Develop and execute Go-to-Market strategies with key technology partners such as AWS, Microsoft, Google, Salesforce, Snowflake, Databricks, and Tableau.
Added 28 mins ago
TC
Java Fullstack Developer
TSR Consulting
Mississauga, ON
- Full-time
TSR Consulting is currently seeking a highly motivated Java Fullstack Developer for an opportunity in Mississauga, ON
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Junior Java Full Stack Developer (Fresh Graduate)
KTek Resourcing
Toronto, ON
- Full-time
Title : Junior Java Full Stack Developer (Fresh Graduate)
Added 28 mins ago
IS
Java Full Stack Lead
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Familiarity with cloud platforms such as AWS, Azure, or GCP
Added 28 mins ago
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- $120,000 to $150,000 CAD / year
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Added 29 mins ago
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MLOps Engineer
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Senior Software Engineer, Dentrix Ascend
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- Full-time
Experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies
Added 56 mins ago
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Data Product Engineer
DataPattern
Toronto, ON
- Contract
Technology Stack: AWS, Aurora PostgreSQL, S3, Glue, Athena, Iceberg, Lambda, Step Functions / MWAA
Added 1 hour ago
VC
Software developer
Vaisesika Consulting Inc.
Toronto, ON
- From $62.5 CAD / hour
- Full-time
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Added 1 hour ago
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Fresh Graduate – Java Full Stack Developer
KTek Resourcing
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Job Title/Role: Fresh Graduate – Java Full Stack Developer
Added 1 hour ago
TC
Data & Analytics Leader- Consulting/Managing Partner)
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Proven experience defining and delivering enterprise-scale solutions on Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
Added 1 hour ago
MF
SRE/DevOps Engineer
Magnet Forensics
Canada
- Full-time
…is encouraged), but your core strength is keeping production AWS environments, identity, and network security healthy, secure, and well…
Added 4 hours ago
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AWS Developer
RevaLabs
Cochin, SK
- Full-time
We are looking for an experienced AWS Developer to design, develop, and integrate event-driven applications on AWS. You will work closely with our platform and product teams to build…
Added 5 hours ago
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Python, PySpark_London
CSI GLOBAL LTD
London, ON
- Contract
Design, develop and maintain scalable ETL pipelines using AWS glue and python, write PySpark scripts for extraction, transformation and loading, configure glue jobs, crawlers and workflows…
Added 5 hours ago
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Full-Stack Developer (Part-Time)
Somaticore
Toronto, ON
- Part-time
Experience with cloud infrastructure (AWS, GCP, or Azure).
Added 5 hours ago
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BACKEND ENGINEER
LayerZero Asia
Vancouver, BC
- Full-time
Experience with AWS services, particularly related to deploying, managing, and scaling applications.
Added 5 hours ago
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Senior Software Engineer – DevTest / QA Automation
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Toronto, ON
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Senior Data Architect
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Scrum Master - Intermediate
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Toronto, ON
- Full-time
Experience with Cloud and Containerization Technologies: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and tools like Docker or Kubernetes.
Added 10 hours ago
Data Solutions Architect
Rogers Communications
Calgary, AB · Brampton, ON
Experience working in cloud environments (e.g., AWS, Azure - including ADF, Databricks, Snowflake, Event Hubs, Storage, Key Vault, Fabric, or similar)
Added 11 hours ago
M
Senior Software Engineer - Customer Portfolio Enablement
Marqeta
Remote, Canada
- Full-time
- Remote
Work across workflow orchestration tooling (e.g., Airflow, AWS Step Functions) to stitch together multi-step processes and API-driven pipelines.
Added 11 hours ago
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Senior Technical Cybersecurity Lead (ID#5561)
New Value Solutions
Canada
- Contract
Cloud security experience in Azure, AWS, or GCP, including IAM, workload identity, and posture management
Added 11 hours ago
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Genesys Cloud CX Technical Lead
CGI
Toronto, ON
- Full-time
Certifications in relevant CCaaS platforms or cloud technologies, such as AWS or Azure.
Added 12 hours ago
GD
Manager, Infrastructure and Cloud Services
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
…while simultaneously leading modernization initiatives across AWS, Azure, Microsoft 365, virtualization, storage, and hybrid infrastructure…

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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