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Added 1 hour ago
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Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled MLOps Developer to join our AI/ML Platform team. This role is pivotal in…
Added 2 hours ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Productionization, MLOps, & System Engineering
Added 2 hours ago
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Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Added 2 hours ago
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ML Architect
Quantiphi
Canada
- Full-time
Implement and manage MLOps principles and best practices for Gen AI models
Added 2 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong expertise in MLOps concepts and ML lifecycle management.
Added 2 hours ago
UH
Senior Data Science Analyst
University Health Network
Toronto, ON
- Contract
Establish and maintain MLOps best practices, including model versioning, pipeline automation, experiment tracking, and reproducible workflows.
Added 3 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 3 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development
Added 4 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong expertise in MLOps concepts and ML lifecycle management.
Added 4 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 4 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 4 hours ago
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Senior Project Manager
OnX
Toronto, ON
- Full-time
Exposure to AI or GenAI project delivery - such as AI readiness/maturity assessments, AI strategy roadmaps, model deployment, MLOps, or AI governance frameworks - is strongly preferred.
Added 5 hours ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 5 hours ago
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AWS SageMaker / Machine Learning Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 5 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…Python/PySpark, Large Language Models (LLMs), SQL, APIs, and Data/MLOps with experience integrating AI solutions into enterprise…
Added 5 hours ago
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Senior AWS Snowflake Architect
Aaura Softwares
Markham, ON
- Temporary
Added 5 hours ago
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Data Science Manager
Askuity
Toronto, ON
- Full-time
Added 6 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
Added 8 hours ago
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Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 8 hours ago
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Artificial Intelligence (AI) Governance Specialist
NuEnergy.ai
Ottawa, ON
- Full-time
…cloud platforms (e.g., AWS, Azure, Google Cloud), APIs, and MLOps pipelines.’Experience working with AI evaluation methods and risk analysis…
Added 11 hours ago
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Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Deploy and operate AI solutions in non-production and production environments using established DevSecOps and MLOps practices.
Added 20 hours ago
TI
Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 20 hours ago
TI
HVAC engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 20 hours ago
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Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Accompagner les équipes dans l’adoption des pratiques MLOps et AI Ops.
Added 21 hours ago
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Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility

Askuity

Data Science Manager

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity's mission is to enable suppliers and merchants at The Home Depot to make profitable, data-driven decisions and drive real-time execution.

As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities within Fusion, The Home Depot's Business Intelligence tool for suppliers. In this role, you will lead a team of data scientists and collaborate with cross-functional stakeholders to enhance decision-making and analytical capabilities within the platform. Your work will be instrumental in optimizing supplier performance, driving insights, and ensuring Home Depot suppliers can leverage data-driven strategies effectively.

Key Responsibilities:

Lead and Mentor a team of data scientists in developing AI_powered solutions, including GenAI for Fusion
Define the roadmap and strategy to enhance predictive analytics, machine learning, GenAI capabilities, intelligent automation, and decision support functionalities
Collaborate with leaders from product management, design, and engineering to integrate advanced analytics into the BI tool
Design an implement machine learning models, NLP, LLM-powered applications, retrieval-augmented generation (RAG), prompt engineering, and other AI techniques to improve user experience and insights generation
Ensure data integrity, quality, and security across all analytics processes
Drive innovation by evaluating emerging AI technologies including foundation models, GenAI frameworks, agentic AI, and responsible AI practices
Measure and evaluate AI and GenAI solutions using business, technical, and model quality metrics while continuously optimizing performance

Skills:

Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
GenAi applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and model evaluation techniques
AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernal, OpenAI APIs, or equivalent GenAI platforms
Cloud-based data platforms (GCP, AWS, Azure) and big data technologies
Statistical modelling and machine learning
Data management & engineering awareness
Programming and MLOps practices

Apply About employer

More about this job

Responsibilities

Lead and mentor a data science team developing AI-enabled capabilities for Fusion, including predictive analytics, machine learning, generative AI, intelligent automation, and decision support. Partner with product, design, and engineering teams to integrate and evaluate AI solutions, maintain data quality and security, and improve supplier insights and performance.

Requirements

The role calls for experience with Python, R, SQL, statistical modeling, machine learning frameworks, and cloud-based data platforms. It also requires expertise in generative AI techniques and tools, including LLMs, prompt engineering, retrieval-augmented generation, embeddings, vector databases, model evaluation, and MLOps practices.

Skills

Python
R
SQL
Machine Learning
TensorFlow
PyTorch
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Natural Language Processing
LangChain
Cloud Data Platforms
Statistical Modeling
MLOps
Data Management

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Generative AI
Fusion
Business Intelligence
Supplier Analytics
Predictive Analytics
Machine Learning
Natural Language Processing
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Embeddings
Vector Databases
LangChain
LangGraph
LlamaIndex
Semantic Kernel
OpenAI APIs
TensorFlow
PyTorch
Python
R
SQL
GCP
AWS
Azure
Big Data
MLOps
Responsible AI

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