Description

You will own the ML codebase, refactoring complex logic and transitioning workloads from batch to stream processing.

Responsibilities

• Develop and maintain ML model codebases across multiple business units.
• Improve data flow, establish new sources, and manage deployment pipelines.
• Troubleshoot data issues and optimize systems for performance and cost.
• Document technical specifications, procedures, and project outcomes.
• Manage CI/CD, version control, and task tracking using Azure DevOps.

Required Skills

• 5+ years of experience in machine learning environments.
• Strong proficiency in Python and Spark.
• Experience with ML model deployment and consumption patterns.
• Ability to debug, refactor, and maintain existing ML solutions.
• Experience building containerized components using Docker and Kubernetes.
• Practical experience with deployment and provisioning automation via CI/CD.
• Degree in any graduate field.

Preferred Skills

• Knowledge of Airflow and GCP (Dataproc, BigQuery, GCS).
• Experience with Azure pipelines.

Key Skills

Education

Any Graduate