Description

You will apply advanced machine learning techniques and optimization methods within the Azure ecosystem to solve complex problems.

This role is on-site.

Responsibilities

• Implement supervised machine learning algorithms to address complex business problems.
• Apply advanced optimization techniques to improve model performance and efficiency.
• Manage end-to-end data workflows and model lifecycles using Azure services.
• Utilize cloud storage and orchestration tools to support robust ML pipelines.

Required Skills

• 12+ years of professional experience in data science or machine learning.
• Expertise in all major supervised machine learning algorithms.
• Strong understanding of advanced optimization techniques.
• Proficiency with Databricks for data processing and analysis.
• Hands-on experience with Azure ML for model development and deployment.
• Experience managing data within Azure Blob Storage.
• Proficiency with Azure Data Factory (ADF) for data orchestration.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with large-scale distributed computing frameworks.

Key Skills

Education

Any Graduate