Description

You will own the data engineering and operations workflows for AI/ML systems, focusing on infrastructure rather than algorithm development.

Responsibilities

• Build and maintain backend APIs to support ML model serving.
• Own deployment processes using Jenkins and Helm.
• Operate and scale workloads on Kubernetes.
• Manage data engineering and operations workflows for AI/ML models.

Required Skills

• 8+ years of IT experience.
• 3+ years of Machine Learning experience.
• Strong proficiency in Python.
• Hands-on experience with Argo or Airflow.
• Experience with Jenkins and Helm for deployment.
• Experience building backend APIs.
• Background in data engineering and ML operations.

Preferred Skills

• Cloud experience with Azure (preferred) or GCP.

Key Skills

Education

Any Gradute