MLOps Engineer
October 20
Description
• We are seeking an experienced MLOps Engineer to join our Data Science project team. • The ideal candidate will support engineering efforts and implement cloud architectures as per designs provided by cloud architects. • Maintain project-specific cloud accounts, ensuring compliance with security requirements. • Optimize costs and manage user access. • Work on CI/CD pipelines in GitHub and build Kubeflow pipelines.
Requirements
• Cloud Expertise: • Proficient in AWS and Azure cloud services • Experience with cloud security, cost optimization, and user access management • MLOps and DevOps Skills: • Proficient in building and managing MLOps pipelines using Kubeflow and MLflow • Experience with CI/CD tools such as GitHub Actions • Familiarity with containerization and orchestration tools like Docker and Kubernetes • Knowledge of Infrastructure as Code (IaC) practices with Terraform and CloudFormation • Programming and Development: • Strong programming skills in Python • Experience with Databricks and machine learning frameworks • Basic understanding of Data Science
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