Description

You will design and implement machine learning solutions and pipelines within the Azure ecosystem.

This role is on-site.

Responsibilities

• Build and manage machine learning models using Azure Machine Learning Studio and AutoML.
• Develop and maintain ML pipelines using MLOps tools and CI/CD workflows.
• Engineer data pipelines using Azure Databricks, Databricks Pipelines, Azure Data Factory, and Synapse Analytics.
• Deploy and orchestrate workloads using Kubernetes service, Jenkins, or GitHub Actions.

Required Skills

• 12+ years of professional experience in relevant technical roles.
• Expertise in Python and Jupyter Notebooks.
• Proficiency with Azure Machine Learning Studio and AutoML.
• Strong MLOps experience using Azure DevOps, Jenkins, or GitHub Actions.
• Hands-on experience with Azure Databricks and Databricks Pipelines.
• Experience building ETL processes with Azure Data Factory and Synapse Analytics.
• Ability to manage containerized workloads via Kubernetes service.

Preferred Skills

• Experience with Azure Blob storage, Azure Functions, or Azure Web Apps.
• Familiarity with Azure AI services and Telecom domain experience.

Key Skills

Education

Any Graduate