iHorizons is hiring a
Machine Learning Ops

Summary

The job involves designing, building, and maintaining scalable machine learning pipelines, deploying models to production environments, managing infrastructure, implementing CI/CD pipelines, containerization, API management, monitoring, security, collaboration with data scientists, and performance optimization. The role reports to the Manager – AI.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field
• 4 years of proven experience as an ML Ops Engineer or similar role in a production environment
• Experience with Azure cloud platform. AWS experience is a plus
• Experience with containerization technologies (Docker, Kubernetes)
• Experience with API management tools (Kong)

Responsibilities

• Design, build, and maintain scalable machine learning pipelines
• Deploy models to test and production environments
• Set up and manage cloud and on-premises infrastructure to support ML operations
• Develop and maintain CI/CD pipelines for ML models and automate build, test, and deployment processes
• Utilize Docker and Kubernetes for deploying ML models
• Develop and manage APIs to support ML models, monitor and secure API calls
• Ensure the reliability, availability, and scalability of ML pipelines by implementing robust monitoring and alerting systems