Azure Open AI

Azure Engineer – AI Projects (Onsite)

Role Summary
We are looking for a skilled Azure Engineer to support AI-focused projects. The candidate will be responsible for building, deploying, and maintaining cloud infrastructure and services on Microsoft Azure to enable AI/ML workloads, ensuring scalability, security, and performance. This is an onsite role requiring hands-on collaboration with cross-functional teams.

Key Responsibilities

Design, deploy, and manage Azure cloud infrastructure for AI and ML projects

Support AI/ML model deployment, training pipelines, and integration with applications

Implement and maintain Azure services including Azure Machine Learning, Azure Data Lake, Azure Databricks, and Azure Kubernetes Service (AKS)

Ensure security, compliance, and cost optimization of Azure resources

Collaborate with data scientists, AI engineers, and application developers

Monitor, troubleshoot, and optimize cloud-based AI workloads

Assist in building automated CI/CD pipelines for AI/ML deployments

Provide technical support and documentation for AI project infrastructure

Required Skills & Qualifications

Strong hands-on experience with Microsoft Azure and cloud services

Experience in supporting AI/ML workloads on Azure

Knowledge of Azure ML, Databricks, Data Factory, AKS, and DevOps pipelines

Experience with scripting and automation (Python, PowerShell, Bash)

Strong understanding of security, scalability, and cloud best practices

Excellent problem-solving and collaboration skills

Must be available to work onsite

Good to Have

Experience with MLOps or AI model deployment frameworks

Familiarity with containerization (Docker/Kubernetes) for AI workloads

Exposure to data engineering, ETL, or analytics pipelines on Azure

Education & Experience

Bachelor’s degree in Computer Science, Engineering, or related field

3–7 years of experience in Azure cloud engineering, preferably supporting AI/ML projects