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Added 16 days ago
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Senior Data Scientist – Generative AI & Machine Learning
Bevertec
Toronto, ON
- Contract
Strong hands-on Python programming skills for machine learning and GenAI applications.
Added 16 days ago
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Junior Data Scientist
Bevertec
Toronto, ON
- Contract
Strong Python programming skills for data analysis and machine learning.
Added 16 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 16 days ago
Senior Data Engineer
Scotiabank
Toronto, ON
Strong programming skills in Python, SQL, and familiarity with CI/CD pipelines for data platforms
Added 16 days ago
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Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
…varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use…
Added 16 days ago
Product Security Engineer
Asana
Vancouver, BC
Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala.
Added 16 days ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Backend: Advanced Python (FastAPI/Django). Familiarity with Document AI or unstructured data parsing is a plus.
Added 16 days ago
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Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 16 days ago
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Data Scientist – Financial Crime Risk Management (FCRM)
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 16 days ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 16 days ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth…
Added 16 days ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 16 days ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 16 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 16 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 16 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions,…
Added 16 days ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth…
Added 16 days ago
GF
Data Analyst
Greenstone Financial Services Canada
Toronto, ON · North York, ON
- $70,000 to $80,000 CAD / year
- Full-time
…actionable insights. The successful candidate will work closely with business stakeholders to monitor performance, investigate trends, and identify opportunities to improve sales…
Added 16 days ago
MS
Consultant Conversion - Lead Cybersecurity Ops: Job Level - Vice President
Morgan Stanley
Montreal, QC
- Full-time
-Development experience with Java and/or modern programming languages such as Python, JavaScript, Go, or C#, including scripting and automation capabilities.
Added 17 days ago
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Data Scientist III
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 17 days ago
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MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong Python; able to work with C++ codebases.
Added 17 days ago
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MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Strong Python; able to work with C++ codebases.
Added 17 days ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Lead the architecture, design, and solutioning of enterprise-scale AI applications with a focus on Generative AI and Agentic AI frameworks.
Added 17 days ago
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Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 17 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
…Financial Services, and Public Sector. You'll work directly with C-level stakeholders to translate business requirements into scalable, governed data architectures on Azure, Databricks, and…

Planitar Inc.

MLOps Engineer

Waterloo, ON, Canada

$120,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

ABOUT US

At Planitar, we build technology that helps people see and understand the world’s spaces more clearly.

We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance, construction and property management to simplify their work and deliver better results.

Planitar recently joined REA Group, one of the world’s leading digital property companies. REA operates Australia’s largest residential and commercial property platforms, including realestate.com.au and has a growing global footprint across Asia and North America. Together, we are shaping the future of property technology, combining Planitar’s deep spatial data expertise with REA’s global scale and innovation engine.

OUR VISION

A connected future where reliable spatial data enables informed decisions across the property lifecycle.

OUR VALUES

Integrity: We do the right thing even when it’s hard.
Teamwork: We are one team, on a big mission.
Innovation: We value creative solutions for emerging opportunities.
Accountability: We honour our commitments.

ABOUT THE ROLE

Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys and monitors our floor-plan generation and automated drafting QA models. You will own this platform end to end.

RESPONSIBILITIES

Build an automated evaluation harness that scores every new model and gates releases on regressions.
Automate and version the data generation and training pipelines.
Set up experiment tracking and a model registry.
Package and deploy models into our desktop drafting application and automated pipeline, with independent rollout and rollback.
Operate LLM-based agents in production: prompt and model versioning, cost and latency tracking.
Monitor model quality, drift and cost in production.
Manage our GPU compute and CI/CD for ML.

QUALIFICATIONS

4+ years in MLOps, ML platform or ML-focused software engineering, with models you took to production.
Strong Python; able to work with C++ codebases.
PyTorch training workflows and ONNX export.
Experiment tracking, model registries and data versioning (e.g. MLflow, W&B, DVC).
Docker, workflow orchestration and CI/CD.
AWS and Linux GPU environments.
Comfortable as the sole owner of a platform on a small research team.

NICE TO HAVE

LLMOps or agent evaluation experience.
Computer vision, 360° imagery or point-cloud data.
Shipping ML inside desktop or edge applications.

PERKS AND BENEFITS

100% employer-paid flexible benefits plan
Comprehensive Health & Dental coverage
Health Spending Account (HSA) or Lifestyle Spending Account (LSA) options
3% DPSP match
Hybrid Work Environment
Professional Development Incentive
Opportunities to grow as we scale
The backing of a global industry leader through REA Group

ACCESSIBILITY, INCLUSION & AI DISCLOSURE

Planitar is committed to a diverse, equitable, inclusive workplace and welcomes applications from all backgrounds. This is a back fill position. We provide accommodation under AODA at any hiring stage upon request. In line with Ontario law, we use AI only to summarize interview notes, never to screen, assess, or decide on candidates - all decisions are made by our team. Please note this is a new position.

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More about this job

Responsibilities

Build and own the end-to-end MLOps platform for training, evaluating, deploying, and monitoring floor-plan generation and automated drafting QA models. Automate data and training pipelines, manage model releases and production monitoring, operate LLM-based agents, and maintain GPU compute and ML CI/CD.

Requirements

Requires 4+ years of MLOps, ML platform, or ML-focused software engineering experience, including taking models to production, along with strong Python skills and the ability to work with C++ codebases. Candidates should have experience with PyTorch and ONNX, experiment tracking and data versioning, Docker, orchestration, CI/CD, AWS, and Linux GPU environments, and be comfortable owning a platform independently.

Skills

MLOps
Python
C++
PyTorch
ONNX
MLflow
Weights & Biases
DVC
Docker
Workflow Orchestration
CI/CD
AWS
Linux GPU Environments
Model Evaluation
Computer Vision
LLMOps

Benefits

Employer-Paid Flexible Benefits Plan
Health And Dental Coverage
Health Spending Account
Lifestyle Spending Account
3% DPSP Match
Hybrid Work Environment
Professional Development Incentive
Growth Opportunities
Global Industry Leader Backing

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning Platform
Python
C++
PyTorch
ONNX
MLflow
Weights & Biases
DVC
Docker
Workflow Orchestration
CI/CD
AWS
Linux
GPU Compute
Model Evaluation
Model Registry
Data Versioning
Training Pipelines
Experiment Tracking
LLMOps
Agent Evaluation
Computer Vision
360-Degree Imagery
Point-Cloud Data
Model Deployment
Model Monitoring
Drift Monitoring
Floor-Plan Generation
Automated Drafting QA

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