Lead the AI transformation at CORSphere as a Senior MLOps Engineer. This role focuses on optimizing ML infrastructure for groundbreaking mission-critical systems in marine, industrial, and defense areas. In this senior engineering position, you will be instrumental in moving machine learning from experimentation to reliable operations.

Collaborate with ML and software engineers to establish robust pipelines and workflows that support model development and deployment across various environments. Your work will enhance the scalability and proficiency of our AI solutions significantly. Key Responsibilities:

- Design and maintain MLOps infrastructure
- Productionize ML workflows for various AI capabilities
- Build reproducible pipelines for data and model management
- Develop CI/CD workflows for machine learning systems
- Optimize deployment workflows for performance and reliability Requirements:
- 4+ years in MLOps or related fields
- Robust Python and software engineering skills
- Hands-on experience with Docker and Kubernetes
- Knowledge of CI/CD using GitHub Actions
- Familiarity with ML tools like MLflow and Kubeflow Elevate ML reliability and infrastructural robustness with your expertise at CORSphere.

📌 Senior MLOps Engineer at CORSphere (Montreal)
🏢 CORSphere
📍 Montreal