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Data / ML Ops Engineer

AspireIT SolutionsUnited States🇺🇸United StatesPosted 8 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Data / ML Ops Engineer
 
Job Description: The backbone that keeps AI running. Manage data pipelines, model deployment, monitoring, and infrastructure automation to ensure reliable, scalable ML in production.
 
Key Requirements:
  • 4+ years in DevOps, Data Engineering, or MLOps
  • Strong experience with Docker, Kubernetes, and CI/CD (GitHub Actions, GitLab CI)
  • Hands-on with MLflow, Kubeflow, Airflow, or Prefect
  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and IaC (Terraform, Pulumi)
  • Knowledge of model monitoring, drift detection, and retraining pipelines
  • Proficiency in Python and scripting (Bash, PowerShell)

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.
Rate/benefits are negotiable.
Aspire IT Solutions reserves the right to modify or withdraw this posting.

Skills

Docker
AWS
MLOps
MLflow
Airflow
Azure
Background Checks
Bash
GitHub Actions
GitLab CI
Google Cloud
Kubernetes
PowerShell
Pulumi
Python
Terraform

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