ML Engineer

About the role

ML Engineer at Yubi. Develop and maintain the core ML platform to standardize model development and deployment workflows.

What you'll do

• Develop and maintain the core ML platform to standardize model development and deployment workflows
• Create and evangelize reusable MLOps components to accelerate the Data Science model lifecycle
• Design and implement seamless integration of trained models with diverse production systems and products
• Implement robust logging and instrumentation for real-time monitoring of model scoring requests in production
• Establish automated systems for continuous model monitoring and performance-based retraining

What you need

• 3–6 yrs of experience
• Machine learning
• MLOps
• Python
• AWS
• GCP
• Docker
• Any graduate

Good to have

• Azure
• Kubernetes
• ETL
• CI/CD
• Test cases
• Instrumentation