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Jobs via Dice

Jobs via Dice

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[Remote] AIML DevOps Engineer Remote Location

Anywhere
full-time
Posted 10/10/2025
Verified Source
Key Skills:
Google Cloud Platform Vertex AI
AWS SageMaker
Docker
Kubernetes
Terraform
CI/CD pipelines (GitHub Actions, Jenkins)
Python
ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Design, implement, and maintain ML pipelines and cloud-based ML infrastructure with CI/CD automation and cross-team collaboration.

Requirements

5+ years in DevOps/CloudOps/ML, experience with GCP or AWS ML services, containerization, infrastructure-as-code, CI/CD pipelines, and Python programming with ML frameworks.

Full Description

Note: The job is a remote job and is open to candidates in USA. Jobs via Dice is seeking an AIML DevOps Engineer to design, implement, and maintain ML pipelines for training, testing, and deploying AI/ML models. The role involves managing cloud-based ML infrastructure and implementing CI/CD pipelines for ML-driven applications, while collaborating with cross-functional teams to ensure optimal operations. Responsibilities • Design, implement, and maintain ML pipelines for training, testing, and deploying AlML models. • Manage and optimize cloud-based ML infrastructure (Google Cloud Platform Vertex AI, AWS SageMaker, or equivalent). • Implement CICD pipelines for ML and Al-driven applications. • Monitor, troubleshoot, and optimize model performance and system reliability. • Automate workflows for data ingestion, model training, deployment, and monitoring. • Collaborate with cross-functional teams to ensure secure, scalable, and compliant ML operations. • Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Skills • 5+ years experience in DevOps, CloudOps, or ML • 5+ years experience with Google Cloud Platform AIML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc) • 5+ years Experience with containerization and orchestration (Docker, Kubernetes) • Proficiency in infrastructure-as-code (Terraform, CloudFormation, or Deployment Manager) • Familiarity with CICD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD) • Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is https://www.dice.com.

This job posting was last updated on 10/11/2025

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