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Senior Machine Learning Developer
Montreal, Quebec, Canada
Actively hiring, first seen by us 4 hours ago- Pay
CAD 200,000–250,000/year · Base — pay source
Compensation & Benefits Base salary range: CAD 200,000 to CAD 250,000 annually. Location
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingBuild and operate conversational AI systems that handle customer interactions over phone and SMS.
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.
Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality.
From the employer’s posting
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.
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.
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
clera is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- GCP
- Kubernetes
- Dagster
Where the posting names them
- 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.
- 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.
Your next step
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation & Benefits Base salary range: CAD 200,000 to CAD 250,000 annually. Location
- Location & working pattern
Montreal, Quebec, Canada
Location On-site in Montreal, Quebec, Canada.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.