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Publié il y a 2 mois

Senior Machine Learning Engineer – Azure ML, Databricks, MLflow & MLOps

@ Astra North Infoteck Inc.

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Toronto, Ontario

Postuler
SIGNAUX

En bref

Astra North Infoteck Inc. is hiring a Senior Machine Learning Engineer to support the AI CoE's machine learning and data science initiatives. The role takes models from prototype to production, covering data preparation, feature engineering, deployment, monitoring and ongoing production support on cloud platforms.

Responsabilités :

  • Build and deploy ML solutions end to end
  • Develop scalable ML pipelines and services
  • Monitor and provide production support for models
  • Integrate ML solutions into enterprise workflows

Résumé des exigences :

  • Hands-on experience deploying ML to production
  • Expert SQL and Python skills
  • Experience with Azure ML, Databricks and MLflow
  • Strong CI/CD and MLOps practice
  • GenAI and LLM experience is an asset

Outils et compétences

Azure MLDatabricksMLflowPythonSQL
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-08-30
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
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.

Postuler

Astra North Infoteck Inc.

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ChampValeur
Offres sur Jobsy422
Description

Senior Machine Learning Engineer – Azure ML, Databricks & MLOps

Skills and Responsibilities:

• We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives.

• The ideal candidate will have strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle management.

• This is a highly technical, hands-on role focused on delivering end-to-end ML solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support.

• The role requires proven experience taking models from prototype to production, building scalable ML pipelines and services, and integrating machine learning solutions into enterprise applications and operational workflows.

• Experience with cloud-native ML platforms, automated deployment processes, and production support is essential.

• Experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps practices — including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions — would be considered an asset.

• In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists and engineers, and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.


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Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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