Skip to main content

MLOps Engineer (Google Cloud Platform Specialization) - W2 Only

WBWFH Beacon

Summary by AIEngineer.careers

MLOps Engineer (Google Cloud Platform Specialization) - W2 Only is a MLOps Engineer role (full-time). with WFH Beacon. in REMOTE, WORLDWIDE. Compensation shown: $45K–$65K (est.). Imported listing (source: wfhbeacon.up.railway.app). Apply on the employer's site (wfhbeacon.up.railway.app).

Imported listing (source: wfhbeacon.up.railway.app) · Apply on wfhbeacon.up.railway.app

How our listings work

REMOTE · WORLDWIDE
$45K–$65K (est.)
Full-time
SENIOR
Apply Now

More AI jobs in United States · Remote AI jobs

The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from wfhbeacon.up.railway.app

MLOps Engineer role focused on designing and managing scalable machine learning infrastructure on Google Cloud Platform. Bridges Data Science, Data Engineering, and DevOps to enable model development, deployment, and monitoring in production. Requires deep GCP expertise and hands-on end-to-end MLOps pipeline experience.

Responsibilities

  • Design, implement, and manage scalable ML infrastructure on Google Cloud Platform
  • Build and maintain end-to-end MLOps pipelines for model development, deployment, and monitoring
  • Bridge Data Science, Data Engineering, and DevOps teams
  • Manage CI/CD pipelines and infrastructure as code with Terraform
  • Operate containerized workloads with Docker and Kubernetes

Requirements

  • 5+ years of experience in MLOps or Machine Learning Engineering
  • Strong Python programming skills
  • Hands-on expertise with GCP services: Vertex AI, GKE, Cloud Run, BigQuery, Cloud Storage, Cloud Composer
  • Experience with Docker and Kubernetes
  • Experience with CI/CD pipelines (GitLab, Bitbucket)
  • Experience with Terraform (IaC)
  • Knowledge of ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Understanding of data pipelines (ETL/ELT) and BigQuery, Dataflow, Dataproc (PySpark)

Nice to Have

  • Vertex AI Pipelines or Kubeflow on GKE
  • Feature Store implementation
  • Exposure to Generative AI and RAG architectures
  • Model monitoring and drift detection experience
  • Microservices and API development (Cloud Functions, Cloud Endpoints)
  • Google Cloud certifications: Professional Machine Learning Engineer, Professional Cloud Architect

Tech Stack

BigQueryBitbucketCloud ComposerCloud RunCloud StorageDataflowDataprocDockerGitLabGKEGoogle Cloud PlatformKubeflowKubernetesPySparkPythonPyTorchRAGScikit-learnTensorFlowTerraformVertex AI
WB

WFH Beacon

Buford · US · 500+ employees

WFH Beacon Group is a privately held, national investigative firm established in 1983 and headquartered in Buford, Georgia. As pioneers of unmanned surveillance technology, WFH Beacon Group's eRemote technology is an industry recognized product. With more than 500 direct employees nationwide, the company helps organizations reduce risk, improve profitability, and increase revenue within the insurance industry.

Weekly job alert

Get a weekly email when new AI engineering jobs match your filters. Free — confirm your address to start.

Related Jobs

The Aerospace Corporation

Senior Machine Learning Operations/Artificial Intelligence Operations Engineer

The Aerospace Corporation

EL SEGUNDO · US
$113K–$215K
M

ML DevOps Engineer

Metarpo

CHICAGO · US
Attain

Senior Machine Learning Engineer

Attain

CHICAGO · US
Fabrion

ML Ops Engineer — Agentic AI Lab (Founding Team)

Fabrion

SAN FRANCISCO · US
Coinflow

ML Ops Engineer

Coinflow

CHICAGO · US
$120K–$180K
PathAI

Associate Director, MLOps Engineering

PathAI

BOSTON PREFERRED NEW YORK · US
$182K–$278K