Description

You will own the infrastructure and deployment lifecycle for AI/ML systems.

This role is on-site.

Responsibilities

• Design and implement scalable infrastructure using Terraform and AWS services.
• Manage the end-to-end ML lifecycle, including model deployment, monitoring, and retraining.
• Build and maintain CI/CD pipelines for seamless application and ML model deployment.
• Implement and enforce AI security best practices across infrastructure and model deployments.
• Automate workflows using Python and Bash scripting to improve operational efficiency.

Required Skills

• 7+ years experience in DevOps, SRE, or Platform Engineering.
• Strong hands-on experience with AWS cloud services and Terraform.
• Experience in MLOps and managing machine learning pipelines.
• Proficiency in Python scripting and automation.
• Hands-on experience with Docker and Kubernetes for containerization.
• Knowledge of AI security practices and secure ML model deployment.
• Experience with CI/CD tools and monitoring solutions like Splunk.
• Familiarity with Bash Shell and Agentic AI concepts.

Preferred Skills

• Experience with Agentic AI concepts.

Key Skills

Education

Any Graduate