Job Summary

Work Settings:: Hybrid

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Job Description

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.

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