Cloud Devops Engineer (AWS/AI)

TL;DR

Cloud Devops Engineer (AWS/AI): Architecting, deploying, and supporting AI and machine learning infrastructure and pipelines with an accent on GenAI projects and scalable ML production systems. Focus on designing ML deploy and monitoring pipelines, automation, CI/CD, and infrastructure as code to enhance enterprise AI capabilities.

Location: Hybrid work format at hirify.global offices

Company

hirify.global fosters a culture empowering employees to accomplish more, focusing on innovation and AI enablement.

What you will do

• Design and build ML deployment, monitoring pipelines, and infrastructure to support enterprise-scale machine learning systems.
• Transform offline data scientist models into real production ML systems.
• Develop scalable tools and services for ML training and inference.
• Evaluate and implement new technologies to improve performance and reliability.
• Apply software engineering best practices including CI/CD and automation.
• Support model development with emphasis on auditability, versioning, and data security.

Requirements

• At least 4 years of AWS experience and 5-8 years in cloud application development or administration.
• Strong hands-on skills with Terraform, Jenkins, Cloudformation, Docker, Kubernetes, and scripting languages.
• Experience with ML DevOps on AWS SageMaker or similar tools.
• Good communication skills and ability to work effectively in a remote and multicultural team.
• Associate AWS certification or equivalent cloud certifications preferred.
• Understanding of AI, ML, and Generative AI domains is a plus.

Culture & Benefits

• Hybrid flexible work environment encouraging collaboration and continuous learning.
• Inclusive and supportive workplace valuing authenticity and diverse perspectives.
• Use of AI tools in hiring to ensure fairness and accuracy.