AI Platform Engineer - Hybrid, Scalable ML Infra

Placements24; Queenstown (MD); Hybrid; USD 36,000 - 72,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Professional growth

Exposure to AI tech

Collaborative culture

Paid time off

Job summary

Client is seeking a skilled AI Platform Engineer to design, build, and maintain the infrastructure powering their AI initiatives. You will enable scalable, reliable, and efficient AI/ML platforms in collaboration with data scientists and ML engineers.

Based in Queenstown with a flexible hybrid model, the role offers exposure to cutting-edge AI technologies, opportunities for growth, and a collaborative culture focused on delivering robust model development, training, and deployment environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with infrastructure engineering, cloud computing, or DevOps for AI/ML platforms.
• Familiarity with AWS/Azure/GCP cloud platforms.
• Proficiency with containerization (Docker, Kubernetes).
• Experience with infrastructure as code (Terraform, Ansible).
• Knowledge of CI/CD and MLOps principles.
• Understanding of AI/ML concepts and workflows.
• Strong scripting skills (Python, Bash).
• Excellent problem-solving and collaboration in hybrid settings.

Responsibilities

• Design, develop, and maintain scalable AI/ML infrastructure and platforms.
• Implement tools for data pipelines, model training, and deployment (MLOps).
• Ensure performance, reliability, and security of AI infrastructure.
• Collaborate with data scientists and engineers to understand infrastructure needs.
• Automate infrastructure provisioning and management tasks.
• Monitor system performance and troubleshoot issues.
• Stay up-to-date with cloud technologies and AI/ML best practices.
• Optimize infrastructure costs and resource utilization.
• Develop and maintain documentation for the AI platform.

Skills

Cloud infra

DevOps

MLOps

Python

Bash

CI/CD

Documentation

Problem solving

Communication

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Ansible

Job description

Client is seeking a skilled AI Platform Engineer to design, build, and maintain the infrastructure powering their AI initiatives. You will enable scalable, reliable, and efficient AI/ML platforms in collaboration with data scientists and ML engineers.

Based in Queenstown with a flexible hybrid model, the role offers exposure to cutting-edge AI technologies, opportunities for growth, and a collaborative culture focused on delivering robust model development, training, and deployment environments.