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Added 10 mins ago
Service Manager
LanceSoft, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
Contract
The candidate does not need to be an AI engineer or data scientist; (experience in these areas is a plus). However, they should be curious about emerging technologies and comfortable using…
Added 10 mins ago
Senior AI Engineer – Claims Summarization & Agentic AI
Cognizant
Toronto, ON
Full-time
We are seeking a highly skilled and hands-on Senior AI Engineer to design, develop, and deploy Agentic AI solutions for insurance claims processing. The ideal candidate will build…
Added 10 mins ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 10 mins ago
Senior Software Engineer - Gameplay & Experience
Electronic Arts (EA)
Vancouver, BC
Full-time
As a Senior Software Engineer, you will collaborate with product leaders, gameplay designers, engineers, and researchers to bring ideas to life. You will develop and architect new gameplay…
Added 10 mins ago
Senior Data Platform Engineer - Toronto
Trisura
Toronto, ON
Full-time
We are currently seeking a driven and collaborative Senior Data Platform Engineer to join our forward-thinking Data and Analytics team.
Added 27 mins ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 40 mins ago
Senior Computer Vision Engineer
Radiant Systems Solutions, Inc
Quebec, QC
$90 to $100 CAD / hour
Part-time
We are seeking a Senior Computer Vision Engineer / Computer Vision Software Developer to develop and optimize advanced computer vision software.
Added 1 hour ago
Senior Data Engineer
National Bank of Canada
Montreal, QC
Full-time
…risk strategies team at National Bank means serving as a data analytics specialist. This position allows you to have a direct impact on transforming the organisation's analytical…
Added 1 hour ago
Digital Architect
Joblinxsapp
AB · Edmonton, AB
Full-time
8+ years as a Data Architect, Software Architect, or Senior Data Engineer working collaboratively with cross-functional teams to develop new software applications.
Added 1 hour ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 1 hour ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y”…
Added 2 hours ago
Senior Baggage Handling System Engineer
AtkinsRéalis
Toronto, ON
Full-time
AtkinsRéalis is seeking a Senior Baggage Handling System (BHS) Engineer for its Western Region. In this role, you will act as the Client's Representative in the execution of large-scale…
Added 2 hours ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Java)Job Description Summary
Added 2 hours ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
…make it easier for our engineers to do the right thing. As a Senior SecOps Engineer you will care deeply about “what goes bump in the night”. You have peers in Security Engineering who care…
Added 2 hours ago
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
We are seeking a Senior Kafka Platform Engineer to administer, maintain, and optimize enterprise Apache Kafka platforms across Development, Test, UAT, and Production environments. The role…
Added 2 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
The ability to influence without authority: evaluate a framework on its merits, pilot it credibly, and persuade skeptical senior engineers to change how they work.
Added 3 hours ago
R&D Engineering Intern
Stathera, Inc.
Vancouver, BC
Full-time
The R&D Engineer Intern will report directly to the Senior Systems Engineer and will be expected to work a total of 40 hours per week.
Added 3 hours ago
Digital Architect (GOAPRDJP00000987) – 5 Resources
Amyantek
Canada
Contract
8 years experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to…
Added 3 hours ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 3 hours ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 3 hours ago
Senior Data Platform Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Platform Engineer to join our forward-thinking Data and Analytics team.
Added 4 hours ago
Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
Full-time
As a key member of the Risk Technology team, the Senior Data Engineer will be the team’s senior hands-on Power BI developer, responsible for designing complex reports and visuals, scalable…
Added 4 hours ago
Fleet Engineer
Purolator
Montreal, QC · Calgary, AB · Richmond, BC · ON · Mississauga, ON · Saint-Laurent, Queb
Reporting to the Senior Manager, Fleet Engineering, the Fleet Engineer will help shape and deliver Purolator’s transition to a safer, smarter, and more sustainable ground fleet. Working…
Added 4 hours ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 4 hours ago
Senior/Lead Azure Cloud Data Engineer
Nityo Infotech
Toronto, ON
Contract
We are seeking a highly skilled Senior/Lead Azure Cloud Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will…

Jobgether

Senior Machine Learning Developer

Canada

Pay: Base salary range of $200,000–$250,000 CAD.
Job type: Full-time
Experience: 6+ years of experience in software engineering or machine learning engineering, with demonstrated experience shipping ML- or LLM-powered systems to production.
Posting language: English
Posted: Sep 24, 2026

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Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in Canada.

This is an opportunity to build and ship production-grade ML and AI systems that interact with thousands of customers every day.

You’ll develop conversational AI for voice and SMS, enabling agents to understand customer needs, take action, and operate autonomously when appropriate.

The role spans product development, machine learning, LLM applications, evaluation systems, and ML infrastructure.

You’ll help establish an evaluation-first engineering culture where AI quality is measured continuously before and after release.

Working across product squads, you’ll build shared tooling, observability, and platform capabilities that accelerate reliable AI development.

You’ll also influence technical standards through design reviews, mentorship, technical writing, and hands-on engineering leadership.

This is a highly autonomous role suited to someone who enjoys solving complex problems in a fast-moving, high-growth environment.

Accountabilities

Build conversational AI systems for phone and SMS that understand customer needs, perform actions, and determine when autonomous behavior is appropriate.
Develop AI tooling such as memory systems, knowledge graphs, and validated customization capabilities that enable agents to adapt to different business needs.
Train, evaluate, deploy, and maintain ML models for prediction, classification, ranking, and capacity forecasting using technologies such as Ray Serve and Dagster.
Create offline and online evaluations, simulations, and CI quality gates to identify regressions and continuously measure AI performance.
Develop shared evaluation, observability, and LLM tooling that enables product teams to deliver AI capabilities more quickly and reliably.
Contribute to ML platform capabilities including model serving, LLM infrastructure, and production monitoring.
Drive engineering quality through design and code reviews, technical documentation, and mentorship.
Take ownership of projects from problem definition through deployment, monitoring, iteration, and continuous improvement.
Help turn lessons learned from individual product teams into reusable platform capabilities.

Requirements

6+ years of experience in software engineering or machine learning engineering, with demonstrated experience shipping ML- or LLM-powered systems to production.
Strong Python skills and solid software engineering fundamentals, with an emphasis on maintainable, testable, and reliable code.
Hands-on experience developing AI systems, including ML model training and deployment and/or LLM applications involving prompting, tool use, agents, retrieval, or related technologies.
Strong understanding of how AI systems behave in production and the ability to identify limitations, failure modes, and quality issues.
An evaluation-first mindset, with the ability to use measurement and experimentation to distinguish genuine improvements from noise or regressions.
Comfort working independently in ambiguous product environments, with sound judgment around when to prioritize depth, speed, or experimentation.
Strong ownership and communication skills, with the ability to take initiatives from problem framing through production delivery and ongoing improvement.
Experience with ML platforms, evaluation frameworks, model serving, feature or prompt registries, or ML observability is a plus.
Familiarity with technologies such as LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs is beneficial.
Experience taking models or AI agents from prototype to production and owning their ongoing performance is advantageous.
Familiarity with real-time or streaming technologies, including voice, telephony, SIP, WebRTC, or low-latency inference, is a plus.
Startup or high-growth technology experience is beneficial.

Benefits

Base salary range of $200,000–$250,000 CAD.
Equity package.
Flexible paid time off.
Fully covered group insurance.
Opportunities for professional growth and career advancement.
Opportunity to work on AI technology with real-world customer interactions at significant scale.
Exposure to a broad range of machine learning, conversational AI, LLM, and production infrastructure challenges.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Build and operate production conversational AI systems for voice and SMS, including models, agent tooling, evaluation systems, and ML infrastructure. Lead projects from problem definition through deployment and ongoing improvement, while strengthening engineering standards through shared platform capabilities, reviews, documentation, and mentorship.

Requirements

Requires at least six years of software or machine learning engineering experience, strong Python and software engineering fundamentals, and experience shipping ML- or LLM-powered systems to production. Candidates should be skilled in evaluating and improving production AI, comfortable working independently in ambiguous environments, and able to own initiatives through delivery and ongoing performance.

Skills

Python
Machine Learning
Large Language Models
Conversational AI
Model Training And Deployment
AI Evaluation
Prompting
AI Agents
Retrieval
Model Serving
ML Infrastructure
Production Monitoring
Ray Serve
Dagster
GCP
Kubernetes

Benefits

Equity Package
Flexible Paid Time Off
Fully Covered Group Insurance
Professional Growth Opportunities
Career Advancement Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Artificial Intelligence
Large Language Models
Conversational AI
Voice
SMS
AI Agents
Memory Systems
Knowledge Graphs
Model Training
Model Deployment
Prediction
Classification
Ranking
Capacity Forecasting
Ray Serve
Dagster
Vertex AI
GCP
Kubernetes
Pulumi
LiveKit
WebRTC
SIP
LLM Infrastructure
Model Serving
AI Evaluation
Observability
CI Quality Gates

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