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Added 1 month ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 1 month ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
Hands-on experience with JavaScript or TypeScript on the front end; experience with Python is a plus for tooling, automation, or data-related tasks.
Added 2 months ago
TD
Senior Manager, Solutions Architecture
TELUS Digital
Remote, Canada
- $224,000 to $254,000 CAD / year
- Full-time
- Remote
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital…
Added 3 months ago
Q-
Montréal [Hybrid] AI-Native Python Developer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
-Experienced Python developer, expert in AI/ML and vibe coding, able to rapidly build innovative solutions with AI assistance while ensuring code quality, robustness and maintainability.
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
…expertise in applied machine learning, statistical modeling, Python, SQL, and cloud-based data science…
Added 2 months ago
TT
AI/ML Engineer
TC Transcontinental
Mississauga, ON
- Full-time
…across the retail, education, book and information industries. With agility, creativity and boldness, we design and deliver innovative, high-value products and…
Added 2 months ago
R
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
- Full-time
…opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities,…
Added 3 months ago
T(
Principal AI/ML Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $240,000 to $320,000 USD / year
- Full-time
- Remote
…Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data…
Added 3 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data…
Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 USD / year
- Full-time
Proficiency with one or more of the following languages: Python, C, C++ programming, JavaScript.
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems.
Added 2 months ago
Solutions Architect, AI Systems
Viral Nation Inc.
Canada
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…
Added 3 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
Experience with Python for scripting and automation
Added 3 months ago
S
Applied AI Lead - Edmonton
Sia
Edmonton, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…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…
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
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
…Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to…
Added 2 months ago
T
Senior Machine Learning Engineer
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 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
Jesta I.S. builds enterprise retail technology used by apparel and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our…
Added 2 months ago
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 Group
Montreal, QC
We are present in Paris, Montreal, Luxembourg, Shanghai, New York, and Geneva, with over 800 consultants 🇫🇷🇨🇦🇨🇳🇺🇸🇨🇭.
Added 1 month ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
…algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented…

exacare ai

Machine Learning Engineer

Canada

Full-time

Apply About employer

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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!

Apply 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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