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Added 7 mins ago
Staff Technical Program Manager - AI/ML
PlayStation Global
Waterloo, ON
This role sits inside an AI/ML Engineering organization delivering production machine learning systems at platform scale, personalization, recommendation, experimentation, or trust & safety…
Added 7 mins ago
TG
Project Manager (12 Months Contract)
TMX Group
Toronto, ON
- $100 to $120 CAD / hour
- Full-time
Data Platform Expertise: Good understanding of IT architecture.
Added 7 mins ago
Staff Engineer, Atlas Agent Engine
MongoDB
Toronto, ON · ON · QC
…provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using…
Added 7 mins ago
M
Senior Project Enablement Lead
McKesson
Mississauga, ON
- Full-time
…function, you will partner with leaders across HR, Finance, Analytics, Technology and Operations to prepare work for decisions and keep priority initiatives moving. This is an individual…
Added 8 mins ago
K
Senior Consultant, Procurement Transformation
KPMG
Montreal, QC
- Full-time
Hands-on experience with at least one major planning platform, such as SAP IBP, Blue Yonder, o9 Solutions, or Kinaxis.
Added 8 mins ago
JH
AI/ML Engineer
Java Holdings Ltd
AB · Edmonton, AB
- Full-time
…generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems…
Added 8 mins ago
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Python Software Developer – Computer Vision & Document Intelligence
Fi Systems
Montreal, QC
- Full-time
We’re looking for a software developer to help build a platform that turns complex HVAC and engineering drawings into structured, usable data. The software analyzes PDFs, identifies symbols…
Added 8 mins ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
…Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud &…
Added 23 mins ago
CT
AVP, Delivery Excellence & Transformation
Canadian Tire Corporation
Toronto, ON
- Full-time
…enterprise priorities, funding and governance; partner with platform leaders to address dependencies, readiness gaps and prioritization decisions. Partner with business, technology and…
Added 23 mins ago
B
T&O Senior Data Analyst, Financial Data
BMO
Toronto, ON · FCP
- Full-time
Create dashboards using Power BI and other analytics platforms.
Added 23 mins ago
M
Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Cloud and platform: Kubernetes or Azure Kubernetes Service (AKS), Azure API Management, Azure Key Vault, and infrastructure as code using Terraform.
Added 38 mins ago
C
Senior Producer, Local Video Development (English Services) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON
- Full-time
Experiment with new video formats, visual storytelling techniques and platform-specific approaches.
Added 38 mins ago
RU
Supervisor, Data Architect
RSM US LLP
Toronto, ON
- Full-time
…background in design and development, data modeling, and business analytics. This individual will collaborate closely with our Data Analytics team…
Added 38 mins ago
M
Kafka Platform Administrator / Kafka Developer
Manpower
Calgary, AB
- Contract
Role: Kafka Platform Administrator / Kafka Developer
Added 38 mins ago
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Digital Marketing Manager
Livingston International
Toronto, ON
- Full-time
Go beyond simple reporting. You'll dive deep into Salesforce, Google Analytics, Looker Studio, Web Analytics and other marketing analytics platforms to translate raw data into actionable…
Added 53 mins ago
R
Director, Cash Management
RBC
Toronto, ON
- Full-time
Added 53 mins ago
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Senior Platform Automation Engineer
RBC
Toronto, ON
- Full-time
Design and implement observability-as-code solutions across AWS, Azure, and OpenShift Container Platform (OCP) using Terraform and infrastructure-as-code practices.
Added 53 mins ago
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Senior Configuration Analyst
RBC
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Stay current on platform updates and industry trends
Added 53 mins ago
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Senior Machine Learning Developer
Clera
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
Join a product and platform team building conversational AI for phone and SMS interactions. You will take machine learning and LLM features from prototype through production, helping voice…
Added 53 mins ago
Content Strategist - 12 Month Contract
D2L
Kitchener, ON
…inspire learners. And most importantly, by giving customers a platform that is easy, flexible, and smart. No other company provides a solution as robust and innovative as…
Added 1 hour ago
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Sr. Digital Product Manager
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…product, the market, great CX, as well as customer feedback and analytics, to prioritize the direction and desired outcomes for your…
Added 1 hour ago
T
Senior Analyst, Enterprise Delivery Orchestration & Reporting
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 1 hour ago
T
Data Designer II
TD
Toronto, ON
- Full-time
Added 1 hour ago
GY
Temporary, Teacher Consultant- Technology
Grande Yellowhead Public School Division
Edson, AB
- Temporary
Added 1 hour ago
D
Technical Product Owner (Quickbase)
Doxim
Canada
- Full-time
…and support enterprise workflow applications on the Quickbase platform. The immediate priority is to accelerate development of Doxim’s operational applications while establishing a…

Clera

Senior Machine Learning Developer

Remote, Canada

Remote

$200,000 to $250,000 CAD / year · Full-time

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Job details

Pay: $200,000 to $250,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: At least 6 years of software or machine learning engineering experience, including a track record of shipping ML or LLM systems to production.
Posting language: English
Posted: Nov 3, 2026

Original job description

About the Role

Join a product and platform team building conversational AI for phone and SMS interactions. You will take machine learning and LLM features from prototype through production, helping voice agents respond to customers, take action, and escalate when needed.

What You'll Do

Build conversational AI systems that understand customer needs and take appropriate actions.
Develop agent tooling, including memory systems, knowledge graphs, and customization frameworks.
Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting using Ray Serve and Dagster.
Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality.
Build shared ML and LLM infrastructure, including serving, evaluation, and observability tools.
Contribute to design and code reviews, technical writing, and mentorship.
Monitor and maintain models and agents in production.

What We're Looking For

At least 6 years of software or machine learning engineering experience, including a track record of shipping ML or LLM systems to production.
Strong Python skills and software engineering fundamentals.
Hands-on experience training and deploying ML models, or building with LLMs using prompting, tools, agents, or retrieval.
Experience with evaluation frameworks, production monitoring, model serving, or related ML platform tooling.
Familiarity with Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs.
Experience with real-time or streaming systems such as voice, telephony, SIP, WebRTC, or low-latency inference is valuable.
Comfort working autonomously, navigating ambiguity, and collaborating in a startup or high-growth environment.

Compensation & Benefits

Salary range: CAD $200,000 to $250,000 annually. Equity and visa sponsorship details were not provided.

Location

On-site in Montreal, Quebec, Canada.

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More about this job

Responsibilities

Build and productionize conversational AI and LLM systems, agent tooling, and models for prediction, classification, ranking, and forecasting. Develop evaluation, serving, and observability infrastructure, monitor production systems, and contribute to reviews, technical writing, and mentorship.

Requirements

Requires at least six years of software or machine learning engineering experience, strong Python and software engineering fundamentals, and a record of shipping ML or LLM systems to production. Candidates should have hands-on model training and deployment or LLM development experience, plus familiarity with evaluation, monitoring, serving, or ML platform tools; real-time voice or streaming experience is valuable.

Skills

Python
Machine Learning
Large Language Models
Conversational AI
Model Training
Model Deployment
Model Evaluation
Production Monitoring
Ray Serve
Dagster
Agent Tooling
Knowledge Graphs
Retrieval
Kubernetes
GCP
Real-Time Systems

Visa sponsorship

Not detected in the job text

Keywords

Conversational AI
Machine Learning
Large Language Models
Python
Ray Serve
Dagster
LiveKit
Vertex AI
GCP
Kubernetes
Pulumi
AI Provider APIs
Model Serving
Model Evaluation
Production Monitoring
Observability
Agent Tooling
Memory Systems
Knowledge Graphs
Retrieval
Prediction
Classification
Ranking
Capacity Forecasting
Simulation
CI Checks
Voice Agents
Telephony
SIP
WebRTC

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