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AI/ML Lead

VBeyond Corporation

 

Toronto, ON, Canada

Posted On: 15+ days ago
Experience: 10+ years
Availability: Remote
Openings: 1
Category: AI/ML Engineer
Tenure: No Preference/Any
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Description

Lead the design, development, and deployment of scalable machine learning solutions across Azure and AWS.

This role is remote.

Responsibilities

  • Lead the design, development, and deployment of scalable ML solutions across Azure and AWS environments.
  • Guide a team of data scientists, ML engineers, and MLOps specialists through full project lifecycles.
  • Build and optimize ML pipelines in Azure Databricks, incorporating best MLOps practices.
  • Oversee model versioning, monitoring, and governance in production environments.
  • Implement CI/CD pipelines for ML workflows and ensure reproducibility and compliance.

Required Skills

  • 10+ years of experience in AI/ML engineering.
  • 2+ years in a leadership role.
  • Strong hands-on experience with Azure Databricks.
  • Proficiency in Python.
  • Experience with AWS.
  • Deep understanding of MLOps practices and deployment strategies.
  • Proven ability to build end-to-end ML pipelines and manage models in production.
  • Experience leading cross-functional teams and mentoring junior engineers.
  • Familiarity with containerization (Docker) and version control (Git).

Preferred Skills

  • Experience with data lake architectures (Delta Lake, S3, etc.).
  • Exposure to model explainability and governance frameworks.

Education

Any Graduate

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