MLOps Engineer (GCP Specialization)

Job Title: MLOps Engineer (GCP Specialization)

Location: Denver, CO (Remote)
Visa: USC & GC

Job Description

We are seeking a highly skilled MLOps Engineer with strong Google Cloud Platform (GCP) expertise to design, build, and manage scalable machine learning infrastructure. The ideal candidate will develop end-to-end ML pipelines, enable seamless model deployment, and ensure reliable monitoring and lifecycle management across ML systems. This role requires close collaboration with Data Science, Data Engineering, and DevOps teams to operationalize machine learning at scale.

Key Responsibilities

• Design and implement scalable MLOps pipelines on Google Cloud Platform
• Deploy and manage ML models using Vertex AI, GKE, and Cloud Run
• Build and manage ETL/ELT data pipelines for ML workloads
• Work with BigQuery, Dataflow, and Dataproc (PySpark) for large-scale data processing
• Orchestrate workflows using Cloud Composer (Airflow)
• Implement CI/CD pipelines using Git-based tools
• Use Terraform for Infrastructure as Code (IaC) provisioning
• Containerize applications using Docker and Kubernetes
• Monitor ML models for performance, drift, and reliability

• Collaborate with cross-functional teams for full ML lifecycle management

   

Mandatory Skills

• Strong hands-on experience in Google Cloud Platform (Vertex AI, GKE, Cloud Run, BigQuery)
• Strong Python programming skills
• Hands-on experience with Docker & Kubernetes
• Experience with CI/CD pipelines and Terraform (IaC)
• Experience with ML frameworks: TensorFlow / PyTorch / Scikit-learn
• Strong knowledge of ETL/ELT pipelines
• Experience with Dataflow, Dataproc (PySpark), and BigQuery
• Understanding of MLOps lifecycle and model deployment