Jobs in Canada

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Added 3 months ago
TA
Senior Maintenance Manager-FR
Top Aces
Cold Lake, AB
- Full-time
Knowledge of airworthiness regulations (Transport Canada and DND), Quality Systems, and compliance requirements including Controlled Goods, security management, and ITAR, within military…
Added 3 months ago
K
Manager, Controls & Automation Engineering, Hard Rock
Komatsu
Sudbury, ON · Lively, ON
- Full-time
Working closely with global product engineering, software engineering, electrical engineering, product management, quality, and internal automation technology divisions, this position leads…
Added 3 months ago
E
Digital Risk Senior Manager
EY
Toronto, ON
- Full-time
To qualify for the role you must have
Added 3 months ago
E
Digital Risk Senior Manager
EY
Ottawa, ON
- Full-time
To qualify for the role you must have
Added 3 months ago
E
Digital Risk Senior Manager
EY
Halifax, NS
- Full-time
To qualify for the role you must have
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
Added 3 months ago
W
Early Career Professional Industrial Hygienist
WSP
Sudbury, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions.
Added 3 months ago
-F
Geotechnical, Practice Lead
-30- Forensic Engineering
Toronto, ON
- Full-time
30 Forensic Engineering is one of Canada’s largest and most respected multi-disciplinary forensic firms. Our core team of over 100 professional investigators, engineering technicians, and…
Added 3 months ago
CE
HVAC Project Engineer
Carmichael Engineering Ltd.
Calgary, AB
- Full-time
Experience in preparing detailed engineering calculations and drawings for HVAC systems an asset
Added 3 months ago
MS
Java Tech Lead - Cash Confirmations (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
10+ years of experience in enterprise software engineering and distributed systems, including 3-5 years in a senior technical leadership role.
Added 3 months ago
ME
Product Reliability Specialist
MACLEAN ENGINEERING & MARKETING CO. LIMITED
North Bay, ON · Sudbury, ON
- $100,000 to $120,000 CAD / year
- Full-time
Day Shift (Monday–Friday)
Added 3 months ago
NI
Production Engineer
NORSAT INTERNATIONAL INC
Richmond, BC
- Up to $40,000 CAD / year
- Full-time
Applicants must hold either a Canadian citizenship, Canadian Permanent Residency, or Work/ Study Permit
Added 3 months ago
G
Développeur(euse) logiciel / Software Developer - Access Control SaaS
Genetec
Remote, Canada
- Full-time
- Remote
…forefront of emerging technologies that unify physical security systems. For more information about Genetec, visit:…
Added 3 months ago
G
Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Remote, Canada
- Full-time
- Remote
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Kelowna, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Cranbrook, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Terrace, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Prince George, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Fort St. John, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 2 months ago
RE
Electrical Site Supervisor
Rising Edge Group
Kamloops, BC
- Full-time
…to design, build, and maintain the critical infrastructure systems communities and industries rely…
Added 3 months ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
This role is primarily focused on Quality Engineering, with an approximate allocation of 70% Quality Engineering and Test Automation responsibilities and 30% software development…
Added 2 months ago
Cathodic Protection Technician
ROSEN-Group
Calgary, AB
Experience with a wide range of cathodic protection systems, testing methods, installation practices, maintenance activities, and engineering applications
Added 3 months ago
MI
Manufacturing Engineer
Magna International
Woodbridge, ON
- Full-time
Must have working knowledge of QS9000 /IATF:16949 and ISO14001 procedures
Added 3 months ago
MI
Project Engineer
Magna International
Brampton, ON
- Full-time
Able to work overtime, including afternoon, evening shifts and weekends as required · Must have valid passport and driver’s license
Added 2 months ago
Manager, Software Development - Onboarding Team
AlayaCare
Montreal, QC
…mentoring each team member. The team will work directly on the systems that power how new customers come on board, making onboarding faster, reducing manual effort, and ultimately improving…

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: Jul 24, 2026

Original job description

Company Overview

Exacare ai is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, exacare ai powers more than 2,000 facilities, and is growing rapidly.

We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make 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

The role involves owning the end-to-end ML lifecycle, from dataset creation and research to deploying production-grade models. Key tasks include developing novel ML solutions, managing experiment tracking, and optimizing models for inference speed and cost.

Requirements

Candidates need 3+ years of experience in production ML, expert Python skills, and proficiency with PyTorch and LLMs. A Bachelor's or Master's degree in Computer Science, AI, or a related technical field is required.

Skills

Python
PyTorch
Large Language Models
Fine-tuning
Prompt Engineering
RAG
Model Quantization
MLOps
Dataset Curation
Hyperparameter Optimization
CI/CD
Model Monitoring

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
PyTorch
Python
MLflow
Weights & Biases
Optuna
Ray Tune
Quantization
Pruning
Knowledge Distillation
RAG
Transformers
Mixtures of Experts
Docker
Kubernetes
Kubeflow
Prometheus
CI/CD
MLOps
Health Tech
Post-acute Care
Deep Learning
Inference Optimization
Dataset Augmentation

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Work requirements

Jobs in Canada