Connexion Inscription gratuite
Postuler

Publié il y a 7 jours

Senior Machine Learning Engineer

@ BuzzClan

Toutes ses offres

Toronto, Ontario

Contrat
Postuler
SIGNAUX

En bref

BuzzClan is hiring a Senior Machine Learning Engineer on a 6+ month contract, with possible extension, for a public sector client in Toronto, ON. The role is hybrid, with 3 days onsite each week, and centres on building, deploying and monitoring machine learning models in Azure.

Responsabilités :

  • Build and deploy ML models in Azure
  • Operationalize models with CI/CD, APIs and monitoring
  • Detect drift and retrain models automatically
  • Define business objectives and performance metrics
  • Manage technical resources and project deadlines

Résumé des exigences :

  • Extensive Azure Machine Learning and MLOps experience
  • Strong Python and SQL proficiency
  • Production model deployment experience
  • Knowledge of statistics and model validation
  • Strong communication and stakeholder management skills

Outils et compétences

Azure Machine LearningAzure AI FoundryDatabricksPower BIPower AutomateGitVS CodeJira
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-03
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
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.

Postuler
ChampValeur
Offres sur Jobsy4
Description

Job Title: Machine Learning Engineer – Senior

Location: Toronto, ON (Hybrid – 3 Days Onsite)

Client: Public Sector

Duration: 6+ Months Contract (Possibility of Extension)

Required Experience and Skills

  • Extensive hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, and MLOps practices.
  • Strong proficiency in Python and SQL, with demonstrated experience developing, testing, and deploying machine learning models into production environments.
  • Experience implementing CI/CD pipelines, containers, APIs, automation, model deployment, monitoring, and observability.
  • Strong understanding of machine learning algorithms, including classification, regression, clustering, feature engineering, and model evaluation.
  • Experience with hyperparameter tuning, model optimization, performance troubleshooting, drift detection, and automated model retraining.
  • Hands-on experience with Azure ML Studio, Azure AI Foundry, Databricks, Git, VS Code, Jira, Power BI, and Power Automate.
  • Experience designing, developing, integrating, and operationalizing machine learning and deep learning solutions.
  • Strong knowledge of statistics, data preprocessing, data cleaning, feature engineering, and validation strategies.
  • Ability to analyze and visualize datasets, identify data distribution differences, and ensure data quality for reliable model performance.
  • Experience defining business objectives, developing appropriate ML solutions, and establishing performance metrics to measure outcomes.
  • Strong problem-solving, analytical, communication, and stakeholder management skills.
  • Ability to manage technical resources, competing priorities, and project deadlines while collaborating with cross-functional teams.

Nice-to-Have Skills and Experience

  • Previous public-sector or government experience.
  • Experience establishing reusable MLOps frameworks, deployment patterns, and enterprise-wide ML automation.
  • Experience with large-scale data processing using Azure Databricks and related cloud data platforms.
  • Experience with production model monitoring, observability, drift detection, and continuous improvement.
  • Familiarity with Power BI and Power Automate for analytics, reporting, and workflow automation.
  • Experience integrating ML solutions with enterprise applications through APIs and automated workflows.

If this aligns with your experience, please share your updated resume with me at [email protected].

Emplois semblables

  • Machine Learning Engineer

    Toronto, ON
    Hybride

    Provision

    Candidates need experience shipping and operating ML or AI systems used by real customers, strong Python and software engineering skills, and practical work with modern language or multimodal models and retrieval. Sound judgment on data quality, experimentation and failure modes is also required.

    Machine learning, ML, Blueprints, Python, Debugging, Modern languages

  • Senior Machine Learning Engineer

    Toronto, ON
    TélétravailTemps plein

    Wiser Solutions

    7+ ansCandidates need 7+ years in ML or AI engineering with a record of shipping and owning production systems. They need hands-on experience with model training and evaluation, LLMs, RAG, embeddings, vector databases, MLOps tooling and AWS, plus strong Python.

    AWS SageMaker, AWS Bedrock, MLflow, Weights & Biases, Airflow, Python

  • Senior Machine Learning Engineer

    Toronto, ON
    Contrat

    Randstad Canada

    Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Machine Learning Engineer

    Toronto, ON
    65–75 $/hContrat

    Altis

    Candidates need extensive hands-on experience deploying machine learning models in production, plus advanced skills in Azure Machine Learning, MLOps and model monitoring. Strong Python and SQL skills, a solid grounding in statistics and ML algorithms, and clear communication with stakeholders are also needed.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Senior Machine Learning Engineer

    Vancouver, BC +2
    TélétravailTemps plein

    Themis Solutions Inc.

    Candidates need hands-on experience shipping agentic systems, strong data preparation skills for complex unstructured data, and experience with open-source LLMs and commercial LLM APIs. Mentorship in agile software teams and clear communication with internal and external stakeholders are also required.

    ChatGPT, Gemini

  • Senior Machine Learning Engineer, Fulfillment

    Ontario
    Télétravail

    Instacart: Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop.

    5+ ansCandidates need five or more years deploying machine learning in production, strong Python and SQL skills, and experience with cloud platforms, Docker and monitoring. A bachelor's degree or equivalent experience is required; a master's or PhD is preferred.

    Python, SQL, Docker, Kubernetes, Airflow, Spark

  • Machine Learning Engineer II

    Toronto, ON
    Sur placeTemps plein

    The Toronto-Dominion Bank (Canada)

    Candidates need a master's or bachelor's degree in a technical field and demonstrated experience leading production machine learning or data platforms. Strong Python, Java, C or C++ coding and deep learning skills are required.

    Python, Java, C, C++, PyTorch, TensorFlow

  • Senior Machine Learning Engineer, Premium Discovery

    Toronto, ON +1
    TélétravailTemps plein

    Scribd, Inc.

    5+ ansCandidates need 5+ years as a professional ML or software engineer, with production recommender systems experience, large-scale data processing and online experiment design. A Bachelor's or Master's in Computer Science or equivalent experience is required.

    Python, Spark, Databricks, BigQuery, Kubernetes, Vertex AI

Lieux et modes de travail

Lieux

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

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.