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 environment.
AI/ML DevOps Engineer at CoreFactor in Toronto employer: CoreFactor Inc.
CoreFactor is an exceptional employer that fosters a collaborative and innovative work culture, where you can thrive as a Senior AI Engineer. With a strong emphasis on mentorship and professional growth, you'll have the opportunity to lead cutting-edge projects in Generative AI while working alongside passionate colleagues in a dynamic environment. Located in a vibrant tech hub, CoreFactor offers competitive benefits and a commitment to employee development, making it a rewarding place to advance your career.
