ML Engineer – Advanced Analytics (MLOps & Azure AI)
Vrinda International · Bengaluru, Karnataka, India · ₹1M/yr
Human Resources Services · 2-10 employees
About the role
The ML Engineer will be responsible for building, deploying, and managing AI/ML solutions on the Microsoft Azure platform. They will also handle the monitoring and lifecycle management of machine learning models using MLOps practices.
What they look for
Requirements
Candidates must have 7-10 years of experience with strong expertise in Azure AI services and cloud-native machine learning deployment. Proficiency in Python, CI/CD pipelines, and containerization tools like Docker and Kubernetes is mandatory.
Full description
Hiring: ML Engineer – Advanced Analytics (MLOps & Azure AI)
? Location: Bangalore
? Experience: 7–10 Years
? Salary: Up to 11 LPA
? Work Mode: Day 1 Work From Office
We are looking for experienced ML Engineers with strong expertise in MLOps, Azure AI Services, and cloud-native machine learning deployment. The ideal candidate should have hands-on experience in building, deploying, monitoring, and managing AI/ML solutions on Microsoft Azure.
Requirements
Mandatory Skills:
✔ Azure Machine Learning
✔ Azure OpenAI Service
✔ Azure Cognitive Services
✔ Azure Speech Services
✔ Python Programming
✔ Azure DevOps
✔ Azure CLI
✔ CI/CD Pipelines
✔ Docker
✔ Kubernetes / AKS
✔ Azure SDKs
✔ Azure Monitor & Application Insights
✔ Managed Identity & RBAC
✔ MLOps Lifecycle Management
