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
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