MLOps Engineer

Job Summary

A company is looking for an ML Ops Engineer (AI) to manage the Machine Learning Operations infrastructure for AI products.

Key Responsibilities

• Audit, secure, and optimize cloud infrastructure for high availability and fault tolerance
• Design and maintain scalable architectures for serving deep learning models
• Build and maintain automated CI/CD pipelines for model testing and deployment

Required Qualifications

• 4-6+ years of experience in MLOps, DevOps, or Data Engineering focused on machine learning workloads
• Deep expertise in AWS and cloud security best practices
• Strong experience with Docker and Kubernetes for ML applications
• Proficiency with Infrastructure as Code tools like Terraform or AWS CloudFormation
• Strong Python programming skills for production-grade code