AI Infrastructure Engineer

Job Summary

A company is looking for an AI Infrastructure Engineer to support advanced machine learning and generative AI applications.

Key Responsibilities

• Design and automate end-to-end MLOps pipelines, including CI/CD for model training and deployment
• Build and maintain scalable ETL/ELT data pipelines for AI/ML workflows
• Manage production-grade model deployments, ensuring performance and reliability

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field with 4+ years of relevant experience
• Strong expertise in cloud platforms such as AWS, GCP, or Azure
• Proficiency with infrastructure-as-code tools like Docker, Kubernetes, and Terraform
• Advanced experience with big data technologies, such as Apache Spark, Hadoop, and Kafka
• US citizenship is required and able to obtain and maintain security clearance