Description

You will manage and optimize the infrastructure and CI/CD pipelines supporting ML model development.

Responsibilities

• Build and configure CI/CD environments to automate deployment processes.
• Maintain platform uptime and stability within Kubernetes environments.
• Monitor ML model performance and data drift to ensure system integrity.
• Automate repetitive tasks to improve developer experience and environment usability.
• Collaborate with InfoSec to ensure all processes meet compliance and security standards.

Required Skills

• 5+ years of experience in DevOps or infrastructure roles.
• Hands-on experience with Kubernetes and containerization.
• Proven track record of setting up and configuring CI/CD pipelines.
• Experience with monitoring tools such as Splunk, Grafana, or Prometheus.
• Experience working within large-scale production environments.
• Knowledge of GCP (Google Cloud Platform).
• Ability to read and understand Python code used for automation.
• Experience with Spark or PySpark.
• Strong focus on continuous process improvement and automation.

Preferred Skills

• Experience with ML model lifecycle management.

Key Skills

Education

Any Graduate