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ML Ops Engineer

Kobo15 days ago
Toronto
Mid Level

Top Benefits

4-day summer holiday weekends
Competitive health benefits
Commuting allowance

About the role

Who you are

  • 5+ years in ML Ops or DevOps roles
  • Strong experience with GCP, especially Vertex AI
  • Proficiency in Kubernetes, Airflow, and ML lifecycle management
  • Experience with system design and automation
  • Familiarity with Flume and PubSub
  • Experience with CI/CD for ML pipelines
  • Knowledge of GCP ML Ops maturity levels and best practices

What the job involves

  • Rakuten Kobo is building a robust ML Ops infrastructure on Google Cloud Platform (GCP) to automate the development and deployment of AI/ML models
  • We are seeking a senior ML Ops/DevOps Engineer with deep GCP experience to lead the design and implementation of scalable, automated ML pipelines
  • Design and implement an end-to-end MLOps capabilities in GCP using VertexAI
  • Lead the transition from manual to automated ML workflows
  • Collaborate with data scientists and engineers to integrate models into production
  • Mentor internal team members on ML Ops best practices
  • Ensure system reliability, scalability, and performance

Benefits

  • 4-day summer holiday weekends
  • Competitive health benefits
  • Commuting allowance
  • Salary, bonus & stock options
  • Global projects & opportunities
  • Dog-friendly
  • Happy Hour
  • Casual dress
  • Maternity/parental leave top-up
  • Free eReader
  • Fitness allowance & gym discount
  • Recognition programs
  • Buddy program
  • Training & development opportunities
  • Healthy snacks
  • Open concept
  • Kobo Café
  • Sports teams

About Kobo

501-1000