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Controls engineer Offres d'emploi - Brampton, ON

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Controls engineer • brampton on

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Quick Apply

Role: ML Engineer <p> </p> Job Summary <p>We are seeking an experienced <b>ML Engineer</b> to build and optimize scalable data pipelines and machine learning solution... Voir plus

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Charger Logistics IncBrampton, ON, CA
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Martinrea International Inc.Brampton, ON, CAN
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Permanent
Quick Apply

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Almag AluminumBrampton, ON, CA
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ML Engineer

J M Group IncBrampton, ON, Canada
Temporaire
Quick Apply

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Mid-Senior IT Professional (Multiple Opportunities)

Hire Resolve.comBrampton, ON, CA
Temps plein
Quick Apply

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Application Security Analyst

407 ETRWoodbridge, Ontario
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ML Engineer

ML Engineer

QuerentiaBrampton, ON, Canada
Il y a 1 jour
Type de contrat
  • Temps plein
  • Quick Apply
Description de poste
Role: ML Engineer

Job Summary

We are seeking an experienced ML Engineer to build and optimize scalable data pipelines and machine learning solutions on Azure. The ideal candidate will have strong expertise in Azure Data Factory, Azure Databricks, Azure Machine Learning, PySpark, SQL, and Python, with experience developing cloud-based data engineering solutions.

Key Responsibilities
  • Design and maintain scalable data pipelines using Azure Data Factory (ADF).

  • Develop ETL/ELT workflows using Azure Databricks and PySpark.

  • Build and optimize data infrastructure for extracting, transforming, and loading large-scale datasets.

  • Develop data solutions using SQL and Azure big data technologies.

  • Collaborate with Product, Data Science, Design, and business teams to support data-driven initiatives.

  • Build data tools and pipelines to enable analytics and machine learning workloads.

  • Monitor, optimize, and enhance data platform performance and reliability.

Required Skills & Experience
  • Strong hands-on experience with:

    • Azure Data Factory (ADF)

    • Azure Databricks

    • Azure Machine Learning

    • PySpark

    • Python

    • SQL

  • Experience with Azure Security, DevOps, and cloud-based data platforms.

  • Exposure to AWS is an asset.

  • Strong understanding of Spark, ETL processes, and modern data engineering practices.

  • Excellent analytical, problem-solving, and communication skills.

  • Ability to work collaboratively with cross-functional teams in an Agile environment.