MLOps Engineer at Remote, Remote, USA |
Email: [email protected] |
From: gopi, Configusa [email protected] Reply to: [email protected] Bachelor's degree or higher in computer science, engineering, mathematics, or related field. Strong programming skills in languages such as Python, Java, or Scala. Proven experience as an MLOps Engineer, specifically with Azure ML and related Azure technologies. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in automation tools like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc. Knowledge of DevOps practices and tools for continuous integration, continuous deployment ( CI/CD), and infrastructure as code ( IaC). Keywords: continuous integration continuous deployment machine learning MLOps Engineer [email protected] |
[email protected] View all |
Wed Jul 17 03:01:00 UTC 2024 |