Description review
Senior Machine Learning Developer
Clera · Remote - Montreal · back to the listing
HR standards
69/100
needs work
Title ↔ description
86/100
strong
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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.