Description

Build and manage backend systems and machine learning workflows in a cloud environment. You will develop high-quality Python services, orchestrate ML pipelines, and manage GCP infrastructure.

Responsibilities

• Develop and maintain backend services using Python.
• Orchestrate machine learning workflows using Airflow or Kubeflow.
• Implement and manage cloud infrastructure and services.
• Leverage GCP services for data processing and model deployment.

Required Skills

• 3+ years of professional experience as a backend software engineer using Python.
• 2+ years of experience with Cloud Engineering and services.
• Hands-on experience with ML workflow orchestration tools such as Airflow or Kubeflow.
• Proficiency with GCP services including Vertex AI, Cloud Functions, and BigQuery.
• Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical discipline.

Preferred Skills

• Experience with large-scale data processing pipelines.
• Knowledge of containerization and Kubernetes.

Key Skills

Education

Any Graduate