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Senior DevOps Engineer - Machine Learning Operations

BOLDNoida, Uttar Pradesh, India
On-site Full-time

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Experience Level

Senior

Qualifications

We are looking for candidates who have a strong background in DevOps practices, particularly in managing ML workflows. You should possess hands-on experience with AWS services, and a solid understanding of CI/CD processes. Familiarity with containerization technologies and monitoring tools will be advantageous. Strong collaboration skills and a proactive approach to problem-solving are essential.

About the job

BOLD is on the lookout for an experienced DevOps professional to lead and manage our production Machine Learning (ML) environments and MLOps infrastructure within our infrastructure and data science teams. You will be responsible for day-to-day operational support, addressing ad-hoc requests, and executing cross-team projects. Your expertise will be crucial in architecting scalable MLOps pipelines utilizing AWS services such as SageMaker, EMR, and OpenSearch.

About BOLD

BOLD's infrastructure team plays a pivotal role in providing an array of services including automation, observability, cloud/server/network architectures, CI/CD, infrastructure as code, database administration, incident management, vendor management, security compliance, and continuous learning. Our mission is to enhance efficiency, minimize errors, and ensure rapid, reliable application releases while adhering to high security standards. We foster a culture of continuous improvement and technology adoption to deliver exceptional value to our organization.

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