Senior Machine Learning Developer

Clera; Montreal; In loco; CAD 200.000 - 250.000; Tempo pieno

Descrizione del lavoro

Clera Labs, Inc. in Montreal is seeking a seasoned software/ML engineer to advance production-scale conversational AI for phone and SMS interactions. You will move ML and LLM features from prototype to production, enabling voice agents to respond, take actions, and escalate when needed.

You will collaborate on tooling, evaluation, monitoring, and infrastructure, with autonomy in a fast‑growing startup environment and visa sponsorship not specified.

Competenze

• 6+ years of software or ML engineering experience with production ML/LLM shipping.
• Proficient in Python and core software engineering.
• Experience training and deploying ML models or building with prompting/tools/agents.
• Experience with evaluation frameworks, production monitoring, model serving, or 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 (voice/telephony/WebRTC) is valuable.
• Ability to work autonomously in a startup or high-growth environment.

Mansioni

• Build conversational AI systems that understand customer needs and take actions.
• Develop agent tooling, including memory systems and knowledge graphs.
• Train, evaluate, and deploy models for prediction, classification, ranking using Ray Serve and Dagster.
• Create offline and online evaluations, simulations, and CI checks to detect regressions.
• 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.

Conoscenze

Python

ML engineering

LLM systems

Production deployment

Ray Serve

Dagster

Kubernetes

GCP

LiveKit

Vertex AI

Strumenti

Ray Serve

Dagster

LiveKit

Vertex AI

GCP

Kubernetes

Pulumi

Descrizione del lavoro

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 elevate 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.