Remote AI/ML Platform Engineer: Scalable Infra & CI/CD

Placements24; Willows (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Flexible hours

Professional development

Job summary

Placements24 is recruiting a Remote AI/ML Platform Engineer to design, build, and scale AI/ML infrastructure on cloud environments (AWS/GCP/Azure). You will own CI/CD pipelines for ML workflows, implement robust monitoring, and collaborate with data scientists to meet infra needs while optimizing performance and cost.

The role emphasizes automation, security, and developer-focused tooling in a remote-first, distributed team. A strong background in MLOps and cloud-native platforms is required.

Qualifications

• Bachelor's degree in CS/SE or related field; Master's preferred.
• 4+ years in infra/DevOps/MLOps with AI/ML platforms.
• Strong cloud experience and IaC tooling.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure on cloud environments.
• Develop and manage CI/CD pipelines for ML models from experiment to production.
• Implement monitoring, logging, and alerting for ML workloads.
• Collaborate with data scientists and ML engineers on infra needs.
• Optimize platforms for performance, cost, and scalability.
• Develop IaC with Terraform or CloudFormation.
• Ensure security and compliance of the ML platform and data.
• Troubleshoot complex infra issues related to ML.
• Develop internal tooling to improve AI development workflows.
• Stay current with MLOps and cloud infra best practices.

Skills

Python

Go

Bash

CI/CD

Debugging

Communication

Education

Bachelor's degree in CS/SE

Master's degree preferred

Tools

Docker

Kubernetes

Terraform

Ansible

GitHub Actions

GitLab CI

Jenkins

AWS

GCP

Azure

Job description

Placements24 is recruiting a Remote AI/ML Platform Engineer to design, build, and scale AI/ML infrastructure on cloud environments (AWS/GCP/Azure). You will own CI/CD pipelines for ML workflows, implement robust monitoring, and collaborate with data scientists to meet infra needs while optimizing performance and cost.

The role emphasizes automation, security, and developer-focused tooling in a remote-first, distributed team. A strong background in MLOps and cloud-native platforms is required.