Senior DevOps Engineer - CI/CD Pipeline (5-6 yrs)

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.