Jobs near Maple, ON (York)

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Added 1 min ago
OL
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FC
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HR
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WC
(CAN) OMNI Customer Fulfillment Associate Temporary - Contract ends May 24, 2027
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L
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TO
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Q
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ZA
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Added 1 min ago
I
Manager, Revenue Operations
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- $130,000 to $150,000 CAD / year
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This is an existing hybrid opportunity, working three days per week on-site in our downtown Toronto office
Added 1 min ago
DB
Specialty Retail Sales Consultant-Baby Gear & Nursery
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No late evening shifts
Added 1 min ago
T
Client Solutions Manager - Global Business Solutions - Canada
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Added 1 min ago
Q
Customer Experience Specialist
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MS
Legal Assistant
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Added 1 min ago
WC
(CAN) OMNI Customer Fulfillment Associate Temporary - Contract ends May 24, 2027
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BR
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Added 1 min ago
JH
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Added 1 min ago
Q
Customer Experience Specialist
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Added 2 mins ago
AL
Actuarial Associate
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Toronto, ON
- Full-time
Added 2 mins ago
LC
Credit Representative
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- Full-time
Added 2 mins ago
MN
Executive Assistant to Chief Executive Officer
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Added 2 mins ago
D|
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Clera

Senior Machine Learning Developer

Remote, Canada

Remote

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

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Applications open in a new tab.

Job details

Pay: $200,000 to $250,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: At least 6 years of software or machine learning engineering experience, including a track record of shipping and operating ML or LLM systems in production.
Posting language: English
Posted: Nov 10, 2026

Original job description

About the Role

Build and operate conversational AI systems that handle customer interactions over phone and SMS. This role spans product and ML platform work, from developing LLM-powered features to creating the tooling and evaluation systems that help teams deliver reliable production experiences.

What You'll Do

Build conversational AI systems that understand customer needs, take action, and escalate when appropriate.
Develop agent memory, knowledge graph, and customization tools to help systems adapt to different workflows.
Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting.
Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality.
Build shared ML and LLM infrastructure for model serving, evaluation, observability, and product development.
Monitor and maintain production models and agents, and improve them based on measured results.
Contribute to technical reviews, documentation, and mentorship across engineering teams.

What We're Looking For

At least 6 years of software or machine learning engineering experience, including a track record of shipping and operating ML or LLM systems in production.
Strong Python skills and software engineering fundamentals, including writing reliable, maintainable, and testable code.
Experience building conversational AI for phone or SMS, or related real-time and streaming systems such as voice, SIP, or WebRTC.
Hands-on experience training and deploying ML models, or building LLM systems with prompting, tool use, agents, or retrieval.
Experience with evaluation frameworks, simulations, production monitoring, or ML platform tooling.
Familiarity with tools such as Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes, Pulumi, and AI provider APIs.
Comfort taking ownership from problem definition through production, working with ambiguity, and supporting teammates through reviews and mentorship.

Compensation & Benefits

Base salary range: CAD 200,000 to CAD 250,000 annually.

Location

On-site in Montreal, Quebec, Canada.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Develop and operate conversational AI systems for phone and SMS, including LLM-powered features and agent memory. Build shared ML infrastructure for model serving, evaluation, and observability while maintaining production models.

Requirements

Requires at least 6 years of software or machine learning engineering experience with a track record of shipping production ML systems. Strong Python skills and experience with conversational AI, real-time streaming systems, and ML platform tooling are essential.

Skills

Python
Machine Learning
LLM
Conversational AI
Ray Serve
Dagster
LiveKit
Vertex AI
GCP
Kubernetes
Pulumi
Voice
SIP
WebRTC
Knowledge Graph
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
Conversational AI
Python
Software Engineering
Ray Serve
Dagster
LiveKit
Vertex AI
GCP
Kubernetes
Pulumi
Voice
SIP
WebRTC
Knowledge Graph
Model Serving
Observability
CI/CD
Regression Testing
Capacity Forecasting
Agent Memory
Prompting
Tool Use
Retrieval
Production Monitoring
Technical Review
Mentorship
Streaming Systems
Infrastructure

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Work requirements

Jobs near Maple, ON (York)