AI Engineer

Job Summary

A company is looking for an AI Engineer.

Key Responsibilities

• Design, improve, and operate MLOps pipelines for training, deploying, and managing ML models in production
• Build and maintain CI/CD-style workflows for model packaging, versioning, and deployment across environments
• Operate and optimise AWS-based infrastructure for AI workloads, including compute, storage, and networking components

Required Qualifications

• Hands-on experience building and operating MLOps pipelines for production ML systems
• Strong experience with AWS services used for AI workloads, including EC2, ECS, and SageMaker
• Practical experience with Docker and container-based deployment of ML workloads
• Experience with MLflow or similar tools for experiment tracking, model versioning, and lifecycle management
• Proven experience supporting live, production ML systems with real customer impact