AI/ML Solutions DevOps Engineer Position
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Summary
DevOps engineer on CI Financial's Data, AI & Analytics team who takes AI projects from concept to production by building CI/CD pipelines (Jenkins, Bitbucket), supporting AWS deployments, and monitoring systems for security and performance.
CI Financial seeks an AI/ML Solutions DevOps Engineer to operationalize innovative AI technologies. Engage in a role that emphasizes collaboration and cutting-edge AI deployment strategies.
As part of our Data, AI & Analytics (DNA) team, you will support the lifecycle of AI projects by building CI/CD pipelines and ensuring production readiness. This role involves collaborating with data scientists and engineers to realize AI applications while maintaining high standards of security and performance across cloud environments.
Key Responsibilities: • Deliver AI solutions from concept to scalable production • Develop CI/CD pipelines using Jenkins and Bitbucket • Support deployment on cloud platforms like AWS • Monitor and troubleshoot operational practices • Ensure production systems adhere to security and performance standards
Requirements: • Bachelor's degree in Computer Science or related field • 5–7 years of DevOps or software engineering experience • Strong foundation in CI/CD processes • Proficiency in shell scripting languages like Python • Familiarity with Docker and cloud technologies
Contribute your insights to CI's innovative AI ventures while advancing your DevOps career in a dynamic workplace.
As part of our Data, AI & Analytics (DNA) team, you will support the lifecycle of AI projects by building CI/CD pipelines and ensuring production readiness. This role involves collaborating with data scientists and engineers to realize AI applications while maintaining high standards of security and performance across cloud environments.
Key Responsibilities: • Deliver AI solutions from concept to scalable production • Develop CI/CD pipelines using Jenkins and Bitbucket • Support deployment on cloud platforms like AWS • Monitor and troubleshoot operational practices • Ensure production systems adhere to security and performance standards
Requirements: • Bachelor's degree in Computer Science or related field • 5–7 years of DevOps or software engineering experience • Strong foundation in CI/CD processes • Proficiency in shell scripting languages like Python • Familiarity with Docker and cloud technologies
Contribute your insights to CI's innovative AI ventures while advancing your DevOps career in a dynamic workplace.
