Senior MLOps Engineer

Job is Expired
Location: Remote
Compensation: Salary
Reviewed: Thu, Apr 10, 2025
MLOps Infrastructure Kubernetes Helm Metaflow

Job Summary

A company is looking for a Senior MLOps Engineer to develop and maintain infrastructure for efficient machine learning model lifecycle management.

Key Responsibilities
  • Design and implement scalable, automated infrastructure using cloud services and container technologies
  • Establish robust infrastructure to support complete ML deployment pipelines including CI/CD, versioning, testing, and monitoring
  • Ensure ML models are production-ready by resolving performance, scalability, reliability, and security issues
Required Qualifications
  • Several years of experience in software engineering, DevOps, or MLOps, focusing on ML infrastructure
  • Expertise in container orchestration (e.g., Kubernetes, Helm)
  • Proficiency in deploying ML-supportive open-source software (e.g., Metaflow, MLFlow)
  • Solid knowledge of AWS and Linux-based systems
  • Strong scripting abilities in Python and Bash
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