Senior DevOps Engineer - CI/CD Pipeline

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. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/20/2024