Tech Stack

Description

You will design and operate backend services that bring machine learning models into production, working closely with ML Engineers to build scalable, high-performance services on AWS.

Requirements

• Strong backend engineering fundamentals with proficiency in Java
• Working knowledge of Python, especially in ML-related workflows
• Hands-on experience with AWS services (ECS, EC2, DynamoDB, Redis, S3, SageMaker)
• Experience with containers and orchestration (Docker, ECS, Kubernetes)
• Experience building and operating production systems with CI/CD and monitoring

Responsibilities

• Design, build, and maintain backend services for deploying and serving ML models in production
• Develop high-performance APIs and services in Java, with supporting components in Python
• Deploy and operate services on AWS using ECS, Fargate, SageMaker, or Kubernetes
• Enable real-time and batch inference workflows, ensuring reliability and scalability
• Implement CI/CD pipelines and deployment automation, and monitor systems with observability tools