MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer to bridge the gap between AI models and production systems.

Key Responsibilities

• Deploy AI models and inference code to production, ensuring seamless operations and monitoring
• Design and maintain scalable infrastructure using AWS services, ensuring cost-efficiency and high availability
• Implement CI/CD pipelines for machine learning, automating retraining, testing, and deployment processes

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of experience deploying Machine Learning models in high-traffic production environments
• Deep practical experience with the AWS stack, including Sagemaker, Lambda, and Redshift
• Strong understanding of application networking and routing services
• Proven experience building CI/CD pipelines and managing Infrastructure as Code