Senior DevOps Engineer
1 week ago
Job Title : DevOps Engineer.
Experience Level : 5+ Years.
Job Description :
- As a DevOps Engineer, 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.
Key Responsibilities :
- 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.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred.
- 5+ years of experience in DevOps, with a focus on MLOps and cloud environments.
- 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).
- Familiarity with containerization technologies (Docker, Kubernetes) for deploying applications.
- Experience with infrastructure as code (IaC) tools such as Terraform or ARM templates.
- Knowledge of monitoring and logging tools (e.g, Azure Monitor, Grafana).
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
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