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Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 USD / year
- Full-time
The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation innovation. As a key contributor to the success of AMD’s IP, you will be leading the…
Added 3 months ago
D
Staff Software Engineer
Dialpad
Vancouver, BC
- Full-time
As a Staff Software Engineer, you’ll own the platformization roadmap for shared services, architecting a plan to decouple existing functionality into highly reusable services. Your…
Added 3 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a Full Stack Software Engineer who builds software in an AI-native way - someone who treats Claude and the latest agentic coding tools as a core part of their craft, not…
Added 3 months ago
E
Staff API Engineer
Equinix
Toronto, ON
- Full-time
…MCP), SDK and documentation generation workflows, and docs/developer platform engineering (e.g., Docusaurus, Backstage, Confluence) including plugins, upgrades, light theming, and CI/CD.…
Added 3 months ago
A
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona’s AI…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona’s voice and multimodal agents. You will own problems across…
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 2 months ago
Senior Principal Software Engineer
Questrade Financial Group
Toronto, ON
We are seeking a visionary Senior Principal Software Engineer to serve as the chief architect and technical north star for our API Platform & Developer Experience (DX). In this highly…
Added 2 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Fullstack API Engineer. Could It Be You?
Added 3 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
You are an experienced software engineer with strong C++ skills and a solid foundation in 3D geometry, meshing, or related engineering workflows. You build reliable, maintainable software…
Added 5 months ago
BA
Product Engineer (Pharma)
Basetwo AI
Toronto, ON
- Full-time
We're hiring a Product Engineer to work closely with pharmaceutical and chemical manufacturing customers to deploy AI-powered solutions in real lab-scale and GXP environments.
Added 3 months ago
A
SoC Data Path Engineer
AMD
Markham, ON
- $120,800 to $181,200 USD / year
- Full-time
We are seeking an experienced SoC Data Path Engineer to lead validation and debug of AMD's next-generation on-chip fabric and data transport architectures. This role focuses on post-silicon…
Added 3 months ago
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Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Physical Design Engineer to work on the implementation of complex digital blocks. In this role, you will leverage your expertise in advanced process…
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
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…
Added 2 months ago
Ingénieur DevOps / DevOps Engineer
mthree
Montreal, QC
Added 1 month ago
Staff Security Engineer
Forma.ai
Toronto, ON
As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 1 month ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be…
Added 2 months ago
P
Embedded Systems Engineer - Capture Systems
Peripheral
Toronto, ON
- Full-time
We’re seeking an embedded systems engineer to scale our sensor suite and innovate on how we capture data at Peripheral. You’ll work with our capture systems team and collaborate with…
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…Everest, ISG, and others.We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and…
Added 2 months ago
H(
Sr. Cloud Platform Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Added 2 months ago
H(
Sr. Cloud Platform Engineer (Network and Cloud Operations)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Added 2 months ago
CS
Senior DevOps Engineer
Canadian Solar Inc.
Kitchener, ON
- Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
3+ years of developer experience shipping code in production settings

exacare ai

Machine Learning Engineer

Canada

Full-time

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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!

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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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