Cloud Lead Engineer- Azure

Years of experience : 10 - 15 yrs

Location : Noida

Join us as Cloud Lead Engineer- Azure at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems.

To be successful as Cloud Engineer you should have experience with :

• Cloud sourcing, networks, VMs, performance, scaling, availability, storage, security, access management
• Deep expertise in Azure cloud platforms
• Strong experience in containerization and orchestration (Docker, Kubernetes, Helm)
• Familiarity with CI / CD tools : GitHub Actions, Jenkins, Azure DevOps, ArgoCD, etc.
• Proficiency in scripting languages (Python, Bash, PowerShell)
• Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML
• Strong understanding of DevOps principles applied to ML workflows.

Key Responsibilities may include :