Description

You will bridge the gap between technical MLOps architecture and functional requirements.

Responsibilities

• Engage with stakeholders to elaborate on requirements and translate them into actionable user stories for development pods.
• Collaborate with architects and technical leads to define system designs.
• Drive User Acceptance Testing (UAT) by creating specific user scenarios and testing protocols.
• Produce technical product documentation detailing features and system capabilities.

Required Skills

• 6+ years of professional experience in technical analysis or MLOps roles.
• Hands-on experience with MLOps and the machine learning lifecycle management.
• Proficiency with Azure Databricks.
• Experience working within DevOps workflows.
• Ability to break down complex technical designs into granular development tasks.
• Any Graduate degree.

Key Skills

Education

Any Graduate