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Publié il y a 3 jours

Senior Machine Learning Developer

@ Clera

Toutes ses offres Site Web

Montréal, Québec

200k–250k $/anTélétravailTemps plein6+ ans d’expérience
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En bref

Clera is hiring a Senior Machine Learning Developer for a full-time, on-site role in Montreal, Quebec. The work is building conversational AI for phone and SMS, taking ML and LLM features from prototype to production. Salary is CAD $200,000 to $250,000 annually.

Salaire :

200 000 $–250 000 $ par année

Responsabilités :

  • Build conversational AI systems for phone and SMS
  • Train, evaluate and deploy ML and LLM models
  • Create offline and online evaluations and CI checks
  • Build shared ML and LLM serving and observability infrastructure
  • Monitor and maintain models and agents in production

Résumé des exigences :

  • At least 6 years of software or ML engineering experience
  • Track record of shipping ML or LLM systems to production
  • Strong Python and software engineering fundamentals
  • Experience with Ray Serve, Dagster, Vertex AI, GCP or Kubernetes
  • Real-time or streaming systems experience valued

Outils et compétences

Ray ServeDagsterLiveKitVertex AIGCPKubernetesPulumi
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-11-03
Première détection par notre source
2026-11-03
Mise à jour du dossier source
2026-11-03

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience6 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Clera

Profil d’entreprise sauvegardé

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Description complète de l’entreprise

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Abonnés LinkedIn
7 288
Personnes associées sur LinkedIn
14
Bureaux déclarés
  • San Francisco, US
  • Berlin, DE
  • New York, New York 10115, US
Catégories d’activité
  • Information Technology
  • Recruiting
  • Artificial Intelligence (AI)
Autres noms enregistrés
  • Clera
  • Clera AI
  • Clera-AI
Spécialités
  • headhunting
  • jobs
  • AI
  • startups
  • recruiting
  • career
  • and coaching
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

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Your AI career agent. Warm intros to startups backed by a16z, Index, YC & more.

ChampValeur
SecteurTechnology, Information and Internet
Taille2-10 employees
Siège socialSan Francisco
Type d’organisationPrivately Held
Fondée en2025
SpécialitésheadhuntingjobsAIstartupsrecruitingcareerand coaching
Offres sur Jobsy3
LinkedInVoir la page
Description

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.

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