Cloud Engineering Manager for Machine Learning Workflows
2 days ago
Marktine Technology Solutions is seeking a skilled Cloud Engineering Manager to lead the development and maintenance of our machine learning workflows.
Estimated Salary: $140,000 - $180,000 per year
Job Description:We are looking for a talented DevOps Engineer with 5+ years of experience in cloud environments to join our team. As a Cloud Engineering Manager, you will be responsible for building and maintaining the infrastructure necessary for our machine learning workflows.
You will work closely with data scientists and software engineers to automate deployment processes, improve CI/CD pipelines, and enhance operational efficiency using Azure services.
- Develop and maintain CI/CD pipelines for machine learning models and applications using Azure DevOps.
- Collaborate with data science teams to facilitate the deployment of models into production environments.
- Automate testing, deployment, and monitoring of machine learning workflows.
- Manage Azure resources to ensure scalable and secure cloud solutions.
- Implement best practices for version control, monitoring, and logging of ML applications.
- Design and maintain infrastructure as code using tools like ARM templates or Terraform.
- Troubleshoot and optimize performance of machine learning applications and pipelines.
- Document processes, workflows, and best practices to ensure knowledge sharing across teams.
The ideal candidate will have a strong proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with Azure services, particularly Azure DevOps, Azure Machine Learning, and Azure Kubernetes Service (AKS), is also required. Familiarity with containerization technologies (Docker, Kubernetes) for deploying applications and experience with infrastructure as code (IaC) tools such as Terraform or ARM templates are a plus.
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are passionate about machine learning and cloud engineering, we encourage you to apply for this exciting opportunity.
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