Join CoreFactor as an experienced AI/ML DevOps Engineer in a hybrid role. Contribute to building reliable CI/CD pipelines for scalable AI applications by collaborating with cross-functional teams. The AI/ML DevOps Engineer will work closely with data scientists and engineers as part of the Data, AI & Analytics team.

You will operationalize Gen AI solutions, focusing on deployment practices while ensuring performance and security standards are met. This role plays a crucial part in moving AI solutions from prototype to production-ready using best practices for automation and reliability. Key Responsibilities:

- Enable delivery of AI solutions from prototype to production
- Build and maintain CI/CD pipelines using Jenkins and Bitbucket




- Support production deployments on Snowflake and AWS
- Troubleshoot production issues and drive improvements
- Ensure solutions adhere to reliability and performance standards Requirements:
- Bachelor's in Computer Science or related field
- 5-7 years in DevOps or MLOps roles
- Proficiency in Python and Bash scripting
- Experience with Docker and CI/CD concepts
- Familiarity with data platforms like Snowflake Leverage your expertise in AI and DevOps at CoreFactor while working in a hybrid workplace.

📌 AI/ML DevOps Engineer at CoreFactor (Toronto)
🏢 Zohorecruit
📍 Toronto