Jobs in Canada

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Added 3 days ago
DB
System Engineer
Deep Breathe
London, ON
- Full-time
…before it ever reaches a patient. As our Systems Engineer, you lead the design controls, risk management and verification work that carry our devices through regulatory submissions into…
Added 3 days ago
GO
Engineering Project Manager
G2V Optics
Edmonton, AB
- Full-time
…what can actually happen when, given shared people, vendor lead times, and dependencies between projects, and whether the plan is still true. The EPM decides sequencing and resourcing…
Added 3 days ago
Data Engineer
Scotiabank
Toronto, ON
Lead root-cause analysis and resolve production incidents
Added 3 days ago
M
RQ11880 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
against the various components. The tester will work with the testing lead and
Added 3 days ago
M
RQ11881 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
against the various components. The tester will work with the testing lead and
Added 3 days ago
Advanced DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
Automation & Innovation: Lead the development of productivity enhancing tools and evaluate new technologies to improve team efficiency and platform capabilities.
Added 3 days ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data.
Added 3 days ago
SO
Supply Chain Project Lead
Supply Ontario
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Supply Chain Project Lead on the eSupply Chain Solutions team, you will lead and support enterprise-wide initiatives that improve how procurement services are delivered for our clients…
Added 3 days ago
LG
Backend Staff Engineer
Linkus Group
Toronto, ON · Greater Toronto Area, Canada
- $150,000 to $180,000 CAD / year
- Full-time
Architect and build backend services and microservices using Python and Go.
Added 3 days ago
U
Tools Programmer Python - TGQF
Ubisoft
Montreal, QC
- Full-time
DocGPT is Ubisoft’s internal knowledge assistant platform, unveiled this year at the 2026 Games Developer Conference (GDC) and deployed across several studios and divisions. Behind the…
Added 3 days ago
C
Senior Test Coordinator
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 3 days ago
CI
Program Lead
Canadian Institute for Health Information (CIHI)
ON · Ontario, Canada
- Contract
…information on Canada's health systems, enabling decisions that lead to healthier Canadians. As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution…
Added 3 days ago
AI Safety Lab Lead
National Research Council Canada
Ottawa, ON
We are seeking a mid‑career RCO‑04 to establish and lead the NRC’s AI Safety Lab, a new capability funded by the Canadian AI Safety Institute (CAISI) and dedicated to evaluating the safety…
Added 3 days ago
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Senior Database Administrator
BuzzClan
ON · Ontario, Canada
- Contract
Develop and automate database administration activities using SQL, PL/SQL, T-SQL, Python, Bash, and PowerShell scripting.
Added 3 days ago
S
Identity and Cloud Security Engineer
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Expérience en automatisation et scripting avec PowerShell, Python ou Terraform.
Added 3 days ago
CI
Project Lead
Canadian Institute for Health Information (CIHI)
ON · Ontario, Canada
- Contract
Project Lead, Specialized Care Standards and Engagement
Added 3 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,554.25 to $13,340.92 CAD / month
- Full-time
Added 3 days ago
OI
Senior Software Engineer
Odaia Intelligence Inc.
Toronto, ON
- Full-time
Lead technical design, code review, and architectural discussions, surfacing risks and trade-offs early
Added 3 days ago
SW
Manager, CWM Analytics, GWM - Toronto/Ottawa
Scotia Wealth Management
Toronto, ON
- Full-time
Lead, mentor, and develop a team of analysts, fostering a culture of collaboration, accountability, and continuous learning.
Added 3 days ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hybrid (minimum 2 days per week in office)
Added 3 days ago
M
Senior Consultant, Consulting - Economics
MNP
Vancouver, BC
- $72,000 to $99,000 CAD / year
- Full-time
Lead engagement teams, developing effective relationships with clients while coaching and mentoring junior team members
Added 3 days ago
B
Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 3 days ago
C
Actuarial Consultant
Co-operators
Guelph, ON · Toronto, ON · Montreal, QC · QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 4 days ago
CA
Actuarial Consultant
Co-operators Assurance et services financiers
Quebec, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 4 days ago
A
NEG00009SE - Senior AI Solutions Lead
Amyantek
Regina, SK
- Contract
The proposed Senior Resource candidate must have the following skills listed below to be considered: · Must have a minimum of five (5) years experience delivering software solutions;

exacare ai

Machine Learning Engineer

Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
Posting language: English
Posted: Nov 10, 2026

Original job description

Company Overview

exacare ai is a leading healthtech company on a mission to build the AI operating system for post-acute care. Our platform connects referral sources, admissions workflows, and reimbursement systems so teams can review documentation, evaluate patients, and act quickly and confidently. Today, exacare ai powers more than 2,500 post-acute facilities / agencies.

Backed by a $30M Series A led by Insight Partners, we’re bringing world-class talent together to transform healthcare. If you like building, learning, and making a real impact, come join us!

About the Role

We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team. You will own the end-to-end ML lifecycle, from dataset creation and foundational research to building and deploying production-grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting-edge techniques, and see your work make a tangible impact, this is the role for you.

What You'll Do

Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks.
Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation
Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data.
Advanced Architectures: Stay current with and apply state-of-the-art techniques, especially relating to Large Language Models (LLMs)

What You'll Bring

Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
Expert-level proficiency in Python
Experience with modern deep learning frameworks, such as PyTorch.
Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
Direct experience with LLMs, including fine-tuning, prompt engineering, RAG, and efficient inference.
Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning
Experience in designing and curating novel datasets from scratch.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.

Bonus Points (Preferred Qualifications):

Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
Contributions to open-source ML projects or a portfolio of personal projects demonstrating a passion for the field.
Strong, hands-on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).

An insight into our Core Values

Only the best belong here

We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft.

We work even harder to keep our partners than we did to earn them initially

The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery.

We keep the patient downstream of every decision

At the end of the day, this is about the patient. We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care.

Raise the bar on ownership

We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build.

The world is moving fast. We move faster.

This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us.

Radical candor, zero politics

We say what’s true, early, and we keep communication direct and clean so the team can move.

Bring good vibes and win together

We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up.

If this sounds like you, we'd love to have a chat!

Apply on LinkedIn About employer

More about this job

Responsibilities

Research, build, and deploy production machine learning models, including LLM-based solutions, while managing dataset creation, experimentation, and model optimization. Establish deployment and monitoring practices to ensure models are reliable, scalable, and efficient in production.

Requirements

Requires at least three years of production machine learning experience, expert Python skills, experience with PyTorch, systematic hyperparameter optimization, and hands-on LLM development and model optimization. A bachelor's or master's degree in computer science, AI, data science, or a related technical field is required; MLOps tools and advanced architectures are preferred.

Skills

Python
Machine Learning
PyTorch
Large Language Models
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
Hyperparameter Optimization
Optuna
Ray Tune
Model Deployment
MLOps
Quantization
Pruning
Dataset Curation
Experiment Tracking

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
Machine Learning
Deep Learning
Large Language Models
Transformers
Mixtures Of Experts
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
Optuna
Ray Tune
Hyperparameter Search
MLflow
Weights & Biases
CI/CD
Model Serving
Model Monitoring
Model Drift
Quantization
Pruning
Knowledge Distillation
Dataset Creation
Data Augmentation
Docker
Kubernetes
Kubeflow
Prometheus
MLOps
Healthcare Technology

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Jobs in Canada