Emplois “SageMaker” au Canada – Page 8

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• 1 mois

  Machine Learning Engineer, Underwriting

  Télétravail au Canada

  180k–250k $/anTélétravailTemps plein

  

  Bree

  Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and comfort deploying models on cloud platforms. They should also have solid problem-solving skills and enjoy fast-paced work.

  Python, Scikit-learn, LightGBM, PyTorch, MLflow, Kubeflow

  1 mois

  Machine Learning Engineer

  Toronto, ON

  180k–250k $/anHybrideTemps plein

  

  Bree

  Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and hands-on work with cloud-based model deployment. Strong analytical skills and the ability to turn business needs into scalable ML solutions are also expected.

  Docker, Kubernetes, MLflow, Kubeflow, SageMaker, Pandas

• 1 mois

  Senior Director, Enterprise Data Management

  Télétravail au Canada

  190k–230k $/anTélétravailTemps plein

  

  Versapay

  10+ ans5+ gestionVersapay needs 10+ years of data leadership, including 5+ years at Director level owning enterprise data strategy. Candidates need deep modern data stack skills (Snowflake preferred), AI/ML infrastructure knowledge, experience governing data for commercial use, and proven ability to build high-performing teams.

  Snowflake, AWS Glue

• 1 mois

  Senior Manager, Solutions Architecture - Data & AI

  Toronto, ON +4

  220k–254k $/anTélétravailTemps plein

  

  TELUS Digital

  Candidates need deep experience with cloud data platforms such as Databricks, Snowflake and major cloud providers, plus machine learning and MLOps knowledge. Strong estimation, client-facing communication and commercial or budget experience in agency settings are also required.

  Databricks, Snowflake, AWS Bedrock, AWS SageMaker, Azure ML, Google Vertex AI

  1 mois

  Senior Manager, Solutions Architecture

  Ontario +4

  224k–254k $/anTélétravailTemps plein

  

  TELUS Digital

  Candidates need multi-platform software experience, ideally in front-end or back-end frameworks and cloud platforms, plus agency or client-service delivery experience. Strong communication, estimation, budgeting and project planning skills are needed.

  AWS, Azure, GCP, Kafka, Docker, Kubernetes

  1 mois

  Senior Manager, Solutions Architecture - Data & AI

  Quebec

  220k–254k $/anTélétravailTemps plein

  

  TELUS Digital

  Expertise en Databricks, Snowflake ou plateformes lakehouse; Maîtrise des services IA/ML cloud (AWS, Azure, GCP); Connaissance de l'apprentissage automatique, MLOps et IA agentique

  Databricks, Snowflake, AWS Bedrock, AWS SageMaker, Azure ML, Vertex AI

  1 mois

  Senior Manager, Solutions Architecture

  Quebec

  224k–254k $/anTélétravailTemps plein

  

  TELUS Digital

  Expertise multi-plateforme en frontend ou backend et en cloud; Expérience en livraison logicielle en environnement agence ou service client; Expérience en estimation logicielle et planification de projet

  AWS, Azure, GCP, Kafka, Docker, Kubernetes

• 1 mois

  Staff ML Platform Engineer (MLOps)

  Toronto, ON

  TélétravailTemps plein

  

  FutureFit AI

  Candidates need staff-level, hands-on MLOps or ML platform experience, including CI/CD for models and monitoring. Production experience with LLM systems, batch and real-time serving, and running A/B tests or canary deploys is required, along with production on-call experience.

  AWS SageMaker, PyTorch, Airflow, dbt, Braintrust, GitHub Actions

• 1 mois

  Senior Data Scientist

  Télétravail au Canada

  Télétravail

  OE

  OneSix - External

  4+ ansCandidates need 4+ years of hands-on ML experience with models shipped to production, strong Python and SQL, and fluency with Git. They also need a quantitative master's degree or equivalent proven work, and must be based in the US or Canada.

  Python, SQL, Git, Docker, SageMaker, Vertex AI

• 1 mois

  Staff ML Engineer

  Télétravail au Canada

  Télétravail

  

  Robots and Pencils: The company has earned recognition as an AWS Advanced Tier Services Partner, an AWS Pattern Partner, and an AWS Business Value Realization partner.

  Candidates need deep, hands-on PyTorch experience, ideally with distributed training, and production experience with Amazon SageMaker. Comfort with hardware-level debugging and solid Python skills are also required.

  PyTorch, Amazon SageMaker, AWS Trainium, AWS Inferentia, Neuron SDK

6 entreprises