Note: The job is a remote job and is open to candidates in USA. Dice is a company seeking an Azure AI/ML Ops Engineer. The role involves managing machine learning projects end-to-end with a focus on MLOps, requiring strong programming skills and proficiency in machine learning libraries and frameworks.

Responsibilities

• Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
• Strong programming skills, preferably in languages like Python, Java, or Scala
• Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Experience with containerization technologies, like Docker and Kubernetes
• Familiarity with ML model deployment tools, such as MLflow or Kubeflow
• Automation of machine learning model deployment

Skills

• Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
• Strong programming skills, preferably in languages like Python, Java, or Scala
• Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Experience with containerization technologies, like Docker and Kubernetes
• Familiarity with ML model deployment tools, such as MLflow or Kubeflow
• Automation of machine learning model deployment

Company Overview

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