Building AI Systems

18 hours ago

Madurai, Tamil Nadu, India beBeeInfrastructure Full time ₹ 14,51,117 - ₹ 25,33,339
Job Title: AI Infrastructure Engineer

As an AI Infrastructure Engineer, you will play a crucial role in the development and deployment of Machine Learning (ML) pipelines across cloud environments. This hands-on position emphasizes building reproducible workflows, integrating observability tools, and enabling efficient model delivery.

The ideal candidate will have experience with AWS services including SageMaker, Fargate, and Bedrock. Additionally, they should be familiar with container workflows and model lifecycle management.

  • Key Responsibilities:
  • Deploy and maintain ML models using AWS services
  • Apply prompt engineering techniques to optimize GenAI model performance
  • Assist in building and maintaining internal model-serving platforms
  • Implement containerized services using Docker
  • Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning
  • Participate in unit and end-to-end testing of ML pipelines and services
  • Support model monitoring and health tracking using AWS CloudWatch

Requirements:

  • 3-5 years of experience in machine learning with strong programming skills in Python
  • Experience with pandas, SQL, and ML frameworks such as scikit-learn
  • Familiarity with AWS services like Lambda, Glue, and CloudWatch
  • Foundational knowledge of observability practices and model deployment fundamentals
  • Strong communication and documentation skills

This is a hands-on position that requires collaboration with development teams to ensure successful model deployment. The ideal candidate will have a strong understanding of cloud infrastructure and be able to assume ownership of assignments.

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