MLOps Engineer

· Required: Design, develop, and deploy scalable machine learning pipelines and infrastructure.· Required: Knowledge of Terraform· Required: Troubleshoot and resolve issues related to machine learning operations and cloud infrastructure.· Required: Implement Databricks and Spark streaming for real-time data processing and model deployment.· Required: Ensure best practices in security, compliance, and cost management within Azure Cloud environments.· Nice-to-have: Monitor and improve ML pipeline performance, ensuring robust CI/CD processes for continuous deployment.Required Skills & Qualifications:· Strong experience with Azure Cloud services, including VM, ML, Storage, and Networking.· Advanced knowledge of Python for scripting, automation, and developing ML pipelines.· Hands-on experience with Terraform for infrastructure as code (IaC).· Solid understanding of CI/CD pipelines, version control (Git), and containerization (Docker/Kubernetes).