MLOps Engineer (Google Cloud Platform Specialization) - W2 Only

Job Title: MLOps Engineer (Google Cloud Platform Specialization) Location: Denver, CO (Remote) Position Overview We are seeking a highly skilled MLOps Engineer with Google Cloud Platform specialization to design, implement, and manage scalable machine learning infrastructure on Google Cloud Platform (Google Cloud Platform).

This role will bridge the gap between Data Science, Data Engineering, and DevOps teams to enable seamless model development, deployment, and monitoring in production environments.

The ideal candidate will have deep expertise in Google Cloud Platform services, strong programming skills, and hands-on experience building end-to-end MLOps pipelines.

Required Qualifications Technical Skills 5+ years of experience in MLOps / Machine Learning EngineeringStrong programming skills in PythonHands-on expertise with Google Cloud Platform services:Vertex AIGKECloud RunBigQueryCloud StorageCloud ComposerExperience with Docker & KubernetesExperience with CI/CD pipelines (GitLab, Bitbucket)Experience with Terraform (IaC)Knowledge of ML frameworks:TensorFlowPyTorchScikit-learnStrong understanding of:Data pipelines (ETL/ELT)BigQuery, Dataflow, Dataproc (PySpark) Preferred Qualifications Experience with:Vertex AI Pipelines / Kubeflow on GKEFeature Store implementationExposure to Generative AI & RAG architecturesExperience with model monitoring and drift detectionKnowledge of microservices and API development:Cloud FunctionsCloud EndpointsGoogle Cloud Certifications:Professional Machine Learning EngineerProfessional Cloud Architect