MLOps Engineer

Job Description : MLOps Engineer – Model Deployment (Azure)

Experience : 2–4 Years

Location : Mumbai

Industry : BFSI (Banking, Financial Services & Insurance)

About the Role

We are seeking a proactive MLOps Engineer with strong expertise in Azure cloud services and hands-on experience in ML model deployment, automation, and monitoring. The role focuses on operationalizing machine learning solutions for BFSI use cases, ensuring production-grade reliability, scalability, and compliance.

Key Responsibilities

• Deploy machine learning models to production using Azure Machine Learning (AML) and Azure DevOps CI / CD pipelines.
• Build, manage, and automate model training, packaging, and deployment workflows.
• Create and maintain Azure ML pipelines, model endpoints, and compute environments.
• Implement model monitoring (drift, accuracy, latency, logs, alerts) using Azure Monitor, Application Insights, or custom solutions.
• Use Docker and Azure Kubernetes Service (AKS) for containerized ML deployments.
• Collaborate with data scientists to optimize model performance in real-time and batch environments.
• Manage cloud resources including Azure Storage, Azure Functions, ACR, App Services, Key Vault, and Virtual Networks.
• Ensure compliance with BFSI security standards, including model governance, access control, and audit requirements.
• Troubleshoot production issues and ensure smooth, scalable operation of ML systems.

Required Skills & Experience

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If you are interested Kindly share your updated resume on below mention ID.

jaimin@thepremierconsultants.com